WO2019076332A1

WO2019076332A1 - Fingerprint information acquisition method and fingerprint recognition device

Info

Publication number: WO2019076332A1
Application number: PCT/CN2018/110776
Authority: WO
Inventors: 曹华俊; 袁亮; 蒋洪睿
Original assignee: 华为技术有限公司
Priority date: 2017-10-20
Filing date: 2018-10-18
Publication date: 2019-04-25

Abstract

Disclosed in the embodiments of the present application is a terminal display screen scanning method for optical fingerprint recognition, being used for improving the optical fingerprint recognition performance. Said method of the present application comprises: if a starting operation on a screen of a terminal is detected, acquiring a first vector set, the first vector set including A mutually orthogonal or mutually quasi-orthogonal data vectors, each of the data vectors including a plurality of data elements, A being an integer greater than 1; sequentially using the data elements in each of the data vectors for controlling a minimum pixel unit in a fingerprint recognition region to emit light, until all the minimum pixel units in the fingerprint recognition region are controlled to emit light, so as to acquire a second vector set corresponding to the fingerprint recognition region, the second vector set carrying fingerprint information; and using the first vector set for demodulating the second vector set, so as to obtain all the fingerprint information in the fingerprint recognition region.

Description

Fingerprint information acquisition method and fingerprint identification device

This application claims the priority of the Chinese Patent Application filed on October 20, 2017, the Chinese Patent Application No. 201710996402.5, and the Chinese Patent Application No. 201810654363.5 filed on June 22, 2018. The content is incorporated herein by reference.

Technical field

The present application relates to the field of optical fingerprint recognition technologies, and in particular, to a method for acquiring fingerprint information for optical fingerprint recognition and a fingerprint identification device.

Background technique

Fingerprint recognition technology involves many technical research fields and is widely used in work and life. At present, fingerprint recognition technology mainly includes capacitive fingerprint recognition technology, ultrasonic fingerprint recognition technology and optical fingerprint recognition technology. At present, most of the various terminal devices including smartphones, tablets and notebook computers adopt optical type. Fingerprint recognition technology.

In the optical fingerprint recognition technology, a photo detector (PD) or the like is placed inside the display in the terminal display screen, or placed under the display screen. The self-illumination of the pixel of the terminal display screen is used as a light source to illuminate the finger, and the PD receives the optical signal reflected by the surface of the finger, converts the optical signal into an electrical signal, and further processes the electrical signal to obtain fingerprint information.

Because the pixel points will interfere with each other, it is called afterglow interference, and the PD will also receive ambient light. The strong ambient light also interferes with the optical fingerprint, which is called ambient light interference. Therefore, an interference signal is present in the optical signal received by the PD, and the accuracy of obtaining the obtained fingerprint information is low, which affects the fingerprint recognition performance.

Summary of the invention

In view of this, the first aspect of the embodiments of the present application provides a method for acquiring fingerprint information, including: first, if a startup operation on a screen of a terminal is detected, acquiring a first vector set, where the first vector set includes A (A is greater than or equal to 2) mutually orthogonal or mutually quasi-orthogonal data vectors, each data vector comprising a plurality of data elements; secondly, the data elements in each data vector are sequentially used to control the minimum pixels in the fingerprint identification region The unit emits light until the control illumination of all the smallest pixel units in the fingerprint identification area is completed, so as to obtain a corresponding second vector set in the fingerprint area, the second vector set carries the fingerprint information; finally, the first vector set solution is used. Adjusting the second vector set to obtain all the fingerprint information in the fingerprint identification area.

Wherein, the vectors are orthogonal to each other to satisfy the following two conditions: (1) for two different vectors, the inner product between the two vectors is 0; (2) for any vector, the inner product of the vector itself is not Is 0, these two conditions can be expressed by the following formula:

(1) Wi*Wj=0.i≠j;

(2) Wi*Wj=A, i=j;

Where W is the vector and the subscripts i and j are used to indicate the number of the vector.

The mutual quasi-orthogonality of the vectors means that the inner product of the two vectors in the condition (1) is a very small number (which may be a positive number or a negative number) close to 0, based on the satisfaction of the above condition (2), for example, A number such as 0.1, -0.05, those skilled in the art know that specific values can be designed according to the requirements of precision, and are not described here.

Vectors that are orthogonal or mutually quasi-orthogonal are constructed in the prior art. For example, some elements of a vector can be set to a certain number of zeros to achieve orthogonality. For example, if there are three vectors, one vector can be {1 , 0,0,0}, the other is {0,1,0,0}, and the third is {0,0,0,1}. In addition, more complex and mutually orthogonal vectors can be constructed by other known or unknown algorithms, such as the simulated annealing algorithm proposed by Patric Ostergard.

As can be seen from the foregoing technical solutions, the technical solution of the present application has the following advantages: the present application controls the minimum pixel illumination in the fingerprint identification area by using A sets of mutually orthogonal data vectors in the first vector set to obtain the fingerprint. A second vector set of fingerprint information in the area is identified. Finally, the second vector set is demodulated by using the first vector set to obtain all fingerprint information in the fingerprint identification area. It can be understood that, since each data vector is mutually orthogonal, in the process of controlling the minimum pixel unit illumination by the data vector, the interference between the illuminating rays of the minimum pixel unit can be reduced, and the fingerprint information obtained by demodulation can be obtained. More accurate, improved accuracy in obtaining fingerprint information, and improved fingerprint recognition performance. It can be understood that the characteristics of the mutually quasi-orthogonal data vectors are similar to the mutually orthogonal data vectors, and therefore, similar effects can be produced, that is, the interference between the illuminating rays of the minimum pixel unit can be reduced, thereby improving the fingerprint recognition performance. .

With reference to the first aspect of the embodiments of the present application, in a first possible implementation manner of the first aspect of the application, the data element in each of the data vectors is sequentially used to control the fingerprint identification area. The minimum pixel unit illumination comprises: (1) first controlling the minimum pixel unit illumination in a predetermined order using a data element of the same serial number in each of the data vectors; (2) reusing another sequence number in each of the data vectors The same data element controls the minimum pixel unit illumination in the predetermined order; (3) repeatedly performing the (1) and (2) processes until the fingerprint is controlled using the same data element of the last one of each of the data vectors Identifying the minimum pixel unit illumination within the region; (4) if the control illumination for all of the smallest pixel units within the fingerprint recognition region has not been completed, the processes of (1), (2), and (3) are repeated until completion.

In this implementation method, the minimum pixel unit illumination is controlled by using the same sequence of data elements in a predetermined order, even if the minimum pixel unit is illuminated in a predetermined order, since the minimum pixel unit is illuminated, it will be illuminated for a period of time and then extinguished, Therefore, sequentially lighting the minimum pixel unit in a predetermined order may cause the residual light interference of the last illuminated minimum pixel unit to the next illuminated minimum pixel unit to be reduced or even eliminated, thereby causing the acquired fingerprint data. More accurate.

With reference to the first aspect of the embodiments of the present application, and the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect of the embodiments of the present application, the first vector set is The three-dimensional matrix M[I, J, K] is constructed, and I, J, K are sequentially dimensions of the three-dimensional matrix M[I, J, K] in the X, Y, Z directions, wherein the three-dimensional matrix The column vectors of M[I, J, K] having different coordinate positions on the X and Y planes are orthogonal to each other, the A being equal to the product of I and J, and one of the data vectors being the three-dimensional matrix M [ Any of the I, J, K] column vectors having the same coordinate position on the X and Y planes, and one of the data vectors includes K data elements.

In this implementation, the mutually orthogonal data vectors in the first vector set are obtained through the three-dimensional matrix structure. In the specific implementation, the three-dimensional matrix can be constructed by using a simulated annealing algorithm or the like. Since the data vectors need to be orthogonal to each other, the more data vectors, the more difficult it is to construct, but by transforming into a three-dimensional matrix and constructing through three-dimensional matrix characteristics, the construction difficulty can be effectively reduced, and the complexity can also be realized by a computer. The construction algorithm, such as the above simulated annealing algorithm, therefore, constructing the first vector set through the three-dimensional matrix, the implementation method is simple and convenient, and the construction can be completed quickly and accurately.

With reference to the first possible implementation manner of the first aspect of the embodiments of the present application, in a third possible implementation manner of the first aspect of the embodiments of the present application, one of the data vectors corresponds to one or more minimum pixel units And, one or more pixel points are included in one of the minimum pixel units.

In this implementation manner, when a data vector corresponds to a plurality of pixel points, it is easy to understand that the use of one data vector can control the illumination of a plurality of pixel points, thereby shortening the time taken to control the illumination of the pixel points, and acquiring faster. Fingerprint information to improve fingerprint recognition performance.

With reference to the first aspect of the embodiments of the present application, in a fourth possible implementation manner of the first aspect of the application, the second vector set includes the A fingerprint vectors, where the fingerprint vector includes The fingerprint information collected during the minimum pixel unit illumination process; the demodulating the second vector set by using the first vector set to obtain all fingerprint information in the fingerprint identification area, including: using the same minimum The data vector corresponding to the pixel unit and the fingerprint vector perform a vector inner product operation until the vector inner product operation corresponding to all the minimum pixel units in the fingerprint recognition area is completed, to obtain all the fingerprint information in the fingerprint identification area.

In this implementation manner, since there is a correspondence between the fingerprint vector, the minimum pixel unit, and the data vector, there is no doubt that the minimum inner pixel can be obtained only by using the data vector and the fingerprint vector corresponding to the same minimum pixel unit for the vector inner product operation. The fingerprint information corresponding to the unit. The vector inner product operation method is used to obtain the fingerprint information in the fingerprint identification area, and the implementation method is simple and the accuracy is high.

With reference to the first aspect of the embodiments of the present application, and the fourth possible implementation manner of the first aspect, in a fifth possible implementation manner of the first aspect of the embodiments of the present application, Before the data element in the data vector controls the minimum pixel unit illumination in the fingerprint identification area, the method further comprises: converting the data element in each of the data vectors into standardized display data, wherein the standardized display data is used To control the illumination of the smallest pixel unit.

In this implementation, since the data vectors are orthogonal and the data elements in the orthogonal vectors are specific, the light of the minimum pixel unit and its illumination can be better controlled by converting the data elements into standardized display data. The strength and the like, thereby establishing a correspondence relationship between the data elements and the illuminance, thereby avoiding the adverse effects of the non-standard data elements in the illuminating modulation process, thereby ensuring the accuracy of the fingerprint information.

With reference to the fifth possible implementation manner of the first aspect of the embodiments of the present application, in a sixth possible implementation manner of the first aspect of the embodiments of the present application, the standardized display data includes grayscale data, where Converting the data elements in each of the data vectors into standardized display data, comprising: converting data elements in each of the data vectors into the gray scale data according to the following formula 1 or formula 2; y=(2n-1)*((m[i,j,k])-min)/(max-min); the formula 2 is: y=(2n-1)*sin{0.5*π*( (m[i,j,k])-min)/(max-min)}; in the above formula 1 and formula 2, the y is the gradation data, and the n is the gradation data The number of bits of the bit, the m[i,j,k] is any one of the data elements in the first data set, i∈[1,I];j∈[1,J],k∈[1 , K], the max is the largest element value in the first data set, and the min is the smallest element value in the first data set.

The gray scale data is a common standardized display data. By converting the data elements into gray scale data by the above formula 1 or formula 2, the illumination of the minimum image unit can be effectively controlled, thereby realizing the illumination modulation of the pixel unit.

With reference to the first aspect of the embodiments of the present application, in a seventh possible implementation manner of the first aspect of the embodiments, the fingerprint identification area includes N fingerprint identification sub-regions, where N is an integer greater than 1. The initiating operation is a touch operation; the method further includes: if the touch operation on the display screen of the terminal is detected, determining the fingerprint identification area according to an operation area corresponding to the touch operation, and The fingerprint identification area is divided into N pieces of the fingerprint identification sub-area, and the operation area is within the area of the fingerprint identification area.

In this implementation manner, the fingerprint identification area may be divided into multiple fingerprint identification sub-areas according to actual needs, and multiple fingerprint identification sub-areas may be scanned at the same time, thereby improving work efficiency.

With reference to the fourth possible implementation manner of the first aspect of the first aspect of the present application, in the eighth possible implementation manner of the first aspect of the embodiments, the data vector is sequentially used in the foregoing After the data element in the control controls the minimum pixel unit illumination in the fingerprint identification area, the method further includes:

The emitted light reflected by the user's finger is sensed by the optical sensing device and converted into a fingerprint vector corresponding to the smallest pixel point.

In this implementation manner, the optical sensing device includes a PD array, and the reflected light is photoelectrically converted by the optical sensing device. Since the photosensitive characteristics of the PD array are good, the PD array can be converted to obtain accurate fingerprint data, thereby improving fingerprint recognition performance.

With reference to the eighth possible implementation manner of the first aspect of the embodiments of the present application, in a ninth possible implementation manner of the first aspect of the embodiments of the present application, the data element in each of the data vectors is sequentially used to control the fingerprint Before the minimum pixel unit in the region is illuminated, the method further includes:

The minimum pixel unit and the PD array are collated to obtain a correspondence between the minimum pixel unit and the PD array.

In this implementation manner, before the illuminating modulation, the correspondence between the minimum pixel unit and the PD array is established by proofreading, so that the PD corresponding to the minimum pixel unit can be obtained according to the corresponding relationship in the orthogonal demodulation process, thereby Get accurate fingerprint data. The minimum pixel unit includes a pixel. The correspondence between the minimum pixel unit and the PD array may be: multiple pixels correspond to multiple PDs, or one pixel corresponds to multiple PDs, or one pixel corresponds to one PD.

A second aspect of the embodiments of the present application provides a fingerprint identification apparatus, including: an acquiring module, configured to acquire a first vector set, where the first vector set includes A mutual positives, if a startup operation on a screen of the terminal is detected a data vector, each of the data vectors includes a plurality of data elements, the A is an integer greater than 1; the illumination control module is configured to sequentially control the fingerprint identification area by using data elements in each of the data vectors The minimum pixel unit is illuminated until the control illumination of all the smallest pixel units in the fingerprint identification area is completed, to obtain a second vector set corresponding to the fingerprint identification area, and the second vector set carries fingerprint information; And a demodulation module, configured to demodulate the second set of vectors by using the first set of vectors to obtain all fingerprint information in the fingerprint identification area.

With reference to the second aspect of the embodiments of the present application, in a first possible implementation manner of the second aspect of the embodiments, the illuminating control module is specifically configured to perform the following operations: (1) using each of the data vectors first a data element having the same serial number controls the minimum pixel unit illumination in a predetermined order; (2) using another data element having the same sequence number in each of the data vectors to control another minimum pixel unit illumination in the predetermined order; (3) repeating Performing (1) and (2) processes until the minimum pixel unit illumination within the fingerprint recognition area is controlled using the same data element of the last one of each of the data vectors; (4) if the The control illumination of all the smallest pixel units in the fingerprint recognition area is repeated (1), (2), and (3) until the completion.

With reference to the second aspect of the embodiments of the present application, and the first possible implementation manner of the second aspect, in a second possible implementation manner of the second aspect of the embodiments, the first vector set is a three-dimensional matrix The structure of M[I, J, K], I, J, K are sequentially the dimensions of the three-dimensional matrix M[I, J, K] in the X, Y, Z directions, wherein the three-dimensional matrix M [ In I, J, K], column vectors having different coordinate positions on the X and Y planes are orthogonal to each other, the A is equal to the product of I and J, and one of the data vectors is the three-dimensional matrix M[I, Any one of J, K] has the same coordinate position on the X and Y planes, and one of the data vectors includes K data elements.

In conjunction with the first possible implementation of the second aspect of the embodiments of the present application, in a third possible implementation manner of the second aspect of the embodiments of the present application, one of the data vectors corresponds to one or more minimum pixel units. And, one or more pixel points are included in one of the minimum pixel units.

With reference to the second aspect of the embodiments of the present application, in a fourth possible implementation manner of the second aspect of the embodiments, the second vector set includes the A fingerprint vectors, where the fingerprint vector includes The fingerprint information collected during the minimum pixel unit illumination process; the demodulation module is specifically configured to perform vector inner product operation using the data vector and the fingerprint vector corresponding to the same minimum pixel unit until all the fingerprint identification regions are completed The vector inner product operation corresponding to the smallest pixel unit is used to obtain all the fingerprint information in the fingerprint identification area.

With reference to the second aspect of the embodiments of the present application, and the fourth possible implementation manner of the second aspect, in the fifth possible implementation manner of the second aspect of the application, the fingerprint identification device further includes: a conversion module for converting data elements in each of the data vectors into standardized display data for controlling illumination of a minimum pixel unit.

With reference to the fifth possible implementation manner of the second aspect of the embodiments of the present application, in a sixth possible implementation manner of the second aspect of the embodiments of the present application, the standardized display data includes gray data, and the conversion The module is specifically used to:

The data elements in each of the data vectors are converted into the gray scale data according to the following formula 1 or formula 2; the formula one is: y=(2n-1)*((m[i,j,k] )-min)/(max-min); the formula 2 is: y=(2n-1)*sin{0.5*π*((m[i,j,k])-min)/(max-min In the

above formulas

1 and 2, the y is the gradation data, the n is the number of bits of the gradation data, and the m[i, j, k] is Any one of the first data sets, i ∈ [1, I]; j ∈ [1, J], k ∈ [1, K], the max is the largest element in the first data set a value, the min being the smallest element value in the first set of data.

With reference to the second aspect of the embodiments of the present application, in a seventh possible implementation manner of the second aspect of the embodiments, the fingerprint identification area includes N fingerprint identification sub-regions, where N is an integer greater than 1. The fingerprinting device further includes: a determining module, configured to: determine the fingerprint according to an operation area corresponding to the touch operation, if the touch operation on the display screen of the terminal is detected Identifying an area, and dividing the fingerprint identification area into N pieces of the fingerprint identification sub-area, the operation area being within an area of the fingerprint identification area.

For other implementation manners of the foregoing second aspect, refer to related implementation manners in the foregoing first aspect, and details are not described herein again. In addition, the beneficial effects of the second aspect and its implementations are similar to those of the first aspect described above. For reference, the related description of the first aspect is not described herein.

A third aspect of the embodiments of the present application provides a fingerprint identification apparatus, including: a memory and a processor; the memory is configured to store an operation instruction; and the processor is configured to invoke the operation instruction to perform the first aspect. The method for acquiring fingerprint information according to any one of the preceding claims.

A fourth aspect of the embodiments of the present application provides a computer storage medium, where the computer storage medium stores an operation instruction, when the operation instruction is run on a computer, so that the computer performs the first aspect as described above. A method for obtaining fingerprint information as described.

A fifth aspect of the embodiments of the present application provides a computer program product, when the computer program product is run on a computer, causing the computer to perform the method for acquiring fingerprint information according to any one of the above first aspects.

For the beneficial effects of the third aspect to the fifth aspect, refer to the related description in the above first aspect, and details are not described herein again.

DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description of the embodiments will be briefly described. It is obvious that the drawings in the following description are only some embodiments of the present application, Those skilled in the art can also obtain other drawings based on these drawings without paying any creative work.

FIG. 1 is a schematic diagram of a frame of an optical fingerprint identification system according to an embodiment of the present application; FIG.

2 is a schematic diagram of an embodiment of a method for acquiring fingerprint information according to an embodiment of the present application;

FIG. 3 is a schematic diagram of another embodiment of a method for acquiring fingerprint information according to an embodiment of the present disclosure;

FIG. 4 is a schematic diagram of a fingerprint identification area segmentation according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a three-dimensional matrix M[8, 8, 8] according to an embodiment of the present application;

FIG. 6 is a schematic diagram of a 4-bit gray level provided by an embodiment of the present application;

FIG. 7 is a schematic diagram of an 8-bit gray level provided by an embodiment of the present application;

FIG. 8 is a schematic diagram of scanning a fingerprint identification sub-area according to an embodiment of the present application;

FIG. 9 is a schematic diagram of an optical path of a PD array according to an embodiment of the present application;

10 is a hardware structure diagram of a smart phone fingerprint identification system according to an embodiment of the present application;

FIG. 11 is a schematic diagram of another embodiment of a method for acquiring fingerprint information according to an embodiment of the present application;

FIG. 12 is a schematic diagram of a fingerprint identification area range according to an embodiment of the present application;

FIG. 13 is a schematic diagram of a three-dimensional fourth-order matrix according to an embodiment of the present application;

FIG. 14(a) is a schematic diagram of fingerprint scanning of a two-dimensional matrix according to an embodiment of the present application;

FIG. 14(b) is a schematic diagram of fingerprint scanning of another two-dimensional matrix according to an embodiment of the present application;

FIG. 14(c) is a schematic diagram of fingerprint scanning of another two-dimensional matrix according to an embodiment of the present application;

FIG. 14(d) is a schematic diagram of fingerprint scanning of another two-dimensional matrix according to an embodiment of the present application.

FIG. 15 is a schematic diagram of an embodiment of a fingerprint identification apparatus according to an embodiment of the present application;

FIG. 16 is a schematic diagram of another embodiment of a fingerprint identification apparatus according to an embodiment of the present application.

Detailed ways

The present application provides a method for acquiring fingerprint information, which is used to improve the accuracy of acquiring fingerprint information and improve fingerprint recognition performance.

The technical solutions in the present application are clearly and completely described in the following with reference to the drawings in the present application. It is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The method for acquiring fingerprint information in the present application is applicable to terminal devices such as smart phones, tablet computers, notebook computers, and in-vehicle devices, and is not limited to the above terminal devices.

FIG. 1 is a schematic diagram of a system framework of an optical fingerprint identification system according to an embodiment of the present application. As shown in FIG. 1, the optical fingerprint identification system includes: a fingerprint scanning control circuit 101, a terminal display screen 102, an optical sensing device 103, a fingerprint information collecting front end processing circuit 104, a fingerprint information post processing circuit 105, and a fingerprint identification application circuit 106. Components. The terminal display screen 102 can be a liquid crystal display (LCD), an organic light emitting diode (OLED) display, or a quantum dot light emitting diode (quantum dot light emitting diode). Referred to as QLED) display, or micro light emitting diode (MLED) display.

The fingerprint scanning control circuit 101 is configured to control fingerprint scanning and driving logic;

The optical sensing device 103 is mainly used for sensing an optical signal and converting it into an electrical signal. For example, an array formed by the aforementioned PD may be used (hereinafter referred to as a PD array);

The fingerprint information collection front-end processing circuit 104 is configured to process the electrical signals collected by the optical sensing device 103, including but not limited to filtering, noise reduction, ADC conversion, protocol interface processing, and the like;

The fingerprint information post-processing circuit 105 is configured to perform calculation and analysis on the data processed by the fingerprint information collection front-end processing circuit 104 to obtain fingerprint information;

The fingerprint identification application circuit 106 is configured to perform operations such as user identity information verification based on the fingerprint information output by the fingerprint information post-processing circuit 105.

Each of the above circuits may be implemented based on different implementation hardware. For example, in one example, any one or more of the fingerprint scanning control circuit 101, the fingerprint information post-processing circuit 105, and the fingerprint identification application circuit 106 may be based on a universal A processor (such as a CPU) is implemented (that is, the CPU usually reads the instructions stored in the memory and later implements the functions of these circuits), wherein the CPU can be packaged on one chip together with other processing circuits.

In another example, any one or more of the fingerprint scanning control circuit 101, the fingerprint information collection front-end processing circuit 104, and the fingerprint information post-processing circuit 105 may be implemented based on an integrated circuit, for example, based on an ASIC, an FPGA, or the like. To realize the functions of these circuits, at the same time, for better integration, these circuits can be packaged into one chip, and of course, it is not limited to package any one or more of the circuits into one chip separately.

In another example, the fingerprint identification application circuit 106 is implemented based on a CPU; the optical sensing device 103 is a PD array; the fingerprint scanning control circuit 101, the fingerprint information collection front end processing circuit 104, and the fingerprint information post-processing circuit 105 are each implemented by an integrated circuit. And packaged to the same chip.

In the method for acquiring fingerprint information in the present application, a group A mutually orthogonal data vector in the first vector set is used to control all minimum pixel point illumination in the fingerprint identification area to obtain a second vector carrying fingerprint information in the fingerprint identification area. The set, finally, demodulates the second set of vectors by using the first set of vectors to obtain all fingerprint information in the fingerprint identification area. It can be understood that, since each data vector is mutually orthogonal, in the process of controlling the minimum pixel unit illumination by the data vector, the mutual interference between the illuminating rays of the minimum pixel unit can be reduced, thereby obtaining the obtained fingerprint by demodulation. The information is more accurate, improves the accuracy of obtaining fingerprint information, and improves fingerprint recognition performance.

In order to facilitate the understanding of the method for obtaining the fingerprint information in the present application, the method for acquiring the fingerprint information in the present application will be described in detail below with reference to the accompanying drawings and specific embodiments.

FIG. 2 is a schematic diagram of an embodiment of a method for acquiring fingerprint information according to an embodiment of the present disclosure. As shown in FIG. 2, the method for obtaining fingerprint information includes:

201. If a startup operation on the screen of the terminal is detected, acquiring a first vector set, where the first vector set includes a plurality of mutually orthogonal or mutually quasi-orthogonal data vectors.

For example, the first vector set includes A mutually orthogonal data vectors, A is an integer greater than or equal to 2, and each data vector includes a plurality of data elements. The startup operation refers to an operation of triggering the fingerprint identification device to start the method for acquiring the fingerprint information. For example, taking the mobile phone as an example, in the state of the mobile phone lock screen, the user's finger touches the fingerprint recognition area, or the user's finger is free to the mobile phone screen. The touch operation of the area is not limited to the specific performance of the touch operation, and only a technical effect similar to the above touch operation can be achieved.

In a specific implementation manner of acquiring the first vector set, the fingerprint scanning control circuit 101 shown in FIG. 1 above may read all data elements in the first vector set from a physical storage space corresponding to the first vector set, such as a memory. Alternatively, it is also possible to read all of the above data from the corresponding memory by having an integrated circuit or chip similar to the above-described fingerprint scanning control circuit 101.

In one example, the first set of vectors and the corresponding data elements can be constructed by a three-dimensional matrix M[I, J, K], which in turn is a three-dimensional matrix M[I, J, K] at X , the dimension in the Y, Z direction, and I, J, K are integers greater than or equal to 1, each matrix element using m[i,j,k] (or mijk, as m011), where i ∈[1,I];j∈[1,J],k∈[1,K]. It should be noted that the three-dimensional matrix M[I, J, K] can be in the X direction (ie, in the Y and Z planes), in the Y direction (ie, in the X and Z planes), or in the Z direction (ie, X and Y). The column vector having the same coordinate position as any one of the planes is used as a data vector, and one data vector correspondingly includes a plurality of data elements, for example, one, J or Z data elements.

Taking the column vector in the Z direction as a data vector as an example, the K matrix elements of the three-dimensional matrix M[I, J, K] in the Z direction (ie, in the X and Y planes) at the same coordinate position form a column vector. That is, the data vector, which is written as: Wi, j, for example, the column vector W1 corresponding to the coordinates (1, 1), 1 = {m111, m112, ..., m11K}, it can be understood that if the above method is to be in the Z direction The elements constitute a column vector, and there are (I*J) column vectors in the above three-dimensional matrix M[I, J, K], in which case A=(I*J).

For the above (I*J) column vectors, the following orthogonal conditions are satisfied: 1. For any two column vectors, if the coordinate positions corresponding to the two column vectors are different, the inner product of the two column vectors is 0; For any column vector, the inner product of the column vector itself is not zero. The three-dimensional matrix that satisfies the above requirements is a prior art, for example, can be implemented by a simulated annealing algorithm proposed by Patric Ostergard. Of course, the present application does not limit the use of other various algorithms that can be implemented to construct the three-dimensional matrix.

As described above, there are (I*J) column vectors in the above three-dimensional matrix M[I, J, K]. Each matrix element in the three-dimensional matrix satisfying the above orthogonal condition is taken as one data element, and a total of (I*J*K) data elements are used, and the (I*J*K) is according to the above-mentioned column vector Wi,j. The data elements are divided into (I*J) data vectors, wherein each data vector includes K data elements.

202. If the startup operation is detected, determining a fingerprint identification area according to the operation area corresponding to the startup operation.

Optionally, if the startup operation is detected, the fingerprint identification device may further determine the fingerprint identification area according to the operation area corresponding to the startup operation. For further descriptions of the startup operation, refer to the related description of the startup operation in the above step 201, and details are not described herein again. For the specific determination method of the fingerprint identification area, refer to the related description in step 304 below, and details are not described herein again.

It should be noted that the fingerprint identification area may also be determined in a pre-specified manner, and specifically, a specific area on the screen of the terminal may be used as a fingerprint identification area. For example, taking a mobile phone as an example, the user at the bottom of the mobile phone screen is most convenient. The touched area is used as a fingerprint identification area, and the area of the designated fingerprint identification area is notified to the user to ensure that the user places a finger in the designated fingerprint area in the fingerprint application scenario, so that the mobile phone detects the specific area. The touch operation eliminates the need to determine the fingerprint recognition area according to the operation area of the touch operation after the touch operation. On the other hand, in order to better ensure the user experience, in the fingerprint application scenario where fingerprint information needs to be obtained, but the user places a finger on the screen area of the mobile phone other than the designated fingerprint recognition area, the mobile phone can issue a prompt message to prompt the user. Place your finger in the specified fingerprint recognition area, and do not limit the prompting method.

203. The data elements in each data vector are sequentially used to control the illumination of the smallest pixel unit in the fingerprint identification area to obtain a second vector set corresponding to the fingerprint identification area.

After acquiring the data elements in the first vector set and determining the fingerprint identification area, the fingerprint identification device sequentially controls the illumination of the smallest pixel unit in the fingerprint recognition area by using the data elements in each data vector until all the fingerprint recognition areas are completed. The minimum pixel unit controls the illumination to obtain a second vector set corresponding to the fingerprint identification area, and the second vector set carries the fingerprint information.

In one example, the fingerprint recognition device sequentially uses the data elements in each data vector to control the illumination of the smallest pixel unit within the fingerprint recognition region. The specific process can include the following steps:

(1) firstly using a data element of the same serial number in each data vector to control the minimum pixel unit illumination in a predetermined order;

(2) sequentially using the same data element in each data vector to control the minimum pixel unit illumination in a predetermined order;

(3) repeatedly performing the processes (1) and (2) until the minimum pixel unit illumination in the fingerprint recognition area is controlled using the same data element of the last sequence number in each data vector;

(4) If the control illumination of all the smallest pixel units in the fingerprint recognition area has not been completed, the processes (1), (2), and (3) are repeatedly performed until completion.

In the examples shown in the above steps (1), (2), (3), and (4), "using one data element of the same serial number in each data vector" means using one data in one data vector. Then use the same sequence number data in another data vector, and so on. For example, first use the first data in the first data vector, then use the first data in the second data vector, then use the first data in the third data vector, and so on. The first data in the data vector. Next, you can use the second data in the first data vector, then the second data in the second data vector, and so on. It should be noted that the order of the data in each data vector used each time is not limited. For example, the second data in each data vector may be used first, and the second data is used in each data vector. The 5th data.

Wherein, the above-mentioned "predetermined order" refers to a predetermined order of lighting the minimum pixel unit, for example, for a rectangular area, from left to right, top to bottom; or from right to left, from top to bottom The order of the following; or other various sequences. In addition, if the area of the fingerprint identification area is large, and the data in all the data vectors cannot be used to complete the scanning at one time, the scanning (1)(2)(3) process may be repeatedly performed, that is, the data may be repeatedly used again or The process of illuminating the smallest pixel unit of the scan area in multiple passes until the control illumination of all the smallest pixel units in the fingerprint recognition area is completed.

In another implementation manner, one data vector may correspond to one minimum pixel unit, or one data vector may correspond to two or more minimum pixel units, and in the above two correspondences, the minimum pixel unit may include One pixel, or two or more pixels.

The specific implementation of controlling illumination described above may be implemented by the fingerprint scanning control circuit 101 described above in FIG. 1, or by an integrated circuit or chip having similar fingerprint scanning control circuit 101 as described above. After controlling the minimum pixel unit illumination in the fingerprint identification area, the optical sensing device 103 (including the PD array) described above in FIG. 1 senses the reflected light and converts it into an electrical signal and outputs it to the fingerprint information front end acquisition circuit 104, the front end of the fingerprint information. The acquisition circuit filters and denoises the optical signal collected by the PD array to obtain corresponding fingerprint data, and saves the fingerprint vector, that is, the second vector set.

Optionally, before the sequentially using the data element in each data vector to control the illumination of the minimum pixel unit in the fingerprint identification area, the acquiring method further comprises: the fingerprint identification device converting the data element in each data vector into a standardized display. Data, standardized display data is used to control the illumination of the smallest pixel unit.

The display data here refers to data for controlling the light of the display pixels to emit different intensities within a certain range. Specifically, each display screen (specifically driven by the display screen) controls the pixels of the display screen to emit different intensities according to a certain range of input data (ie, "display data"). Therefore, in order to adapt to the display screen "Display Data", in this application, data elements in a data vector can be converted (mapped) into display data. At the same time, it can be understood that in order to enable the data elements in the data vector to correspond to different display data, it is necessary to map the data elements in the data vector to the range of the display data. This process can be called a standardized process. For example, assuming that the range of the display data is 1-10 and the range of the scan data is 1-100, 1-10 of the scanned data can be converted into 1 of the display data, and 11-20 of the scanned data can be converted into 2 of the display data. The 21-30 of the scanned data is converted into 3 of the displayed data... and so on.

In an example of the above data conversion, the normalized data may be grayscale data, and the fingerprint identification device converts the data elements in each data vector into grayscale data. For the specific conversion manner, refer to step 304 in the following. The specific description of the degree data conversion will not be described here.

In a specific implementation, the data elements in the data vector are converted into standardized display data, which may be implemented by the fingerprint scanning control circuit 101 as described in FIG. 1 above, or an integrated circuit having a conversion function similar to that of the fingerprint scanning control circuit 101 described above. Or chip and so on.

204. Demodulate the second vector set by using the first vector set to obtain all fingerprint information in the fingerprint identification area.

In an example, the second vector set includes A fingerprint vectors. It can be understood that the fingerprint vector is the same as the number of data vectors, and the fingerprint vector includes the fingerprint information collected during the minimum pixel unit illumination process. The demodulating the second vector set by using the first vector set may be: performing a vector inner product operation using the data vector and the fingerprint vector corresponding to the same minimum pixel unit until all minimum pixel units in the fingerprint identification area are completed. The vector inner product operation finally obtains all the fingerprint information in the fingerprint identification area.

For example, based on the data vector Wi,j described in the above step 201, the fingerprint vector obtained by controlling the data element in each data vector Wi,j to control all the minimum pixel units in the fingerprint region is recorded as Vi, j, the data vector Wi, j and the fingerprint vector Vi, j are one-to-one correspondence, and the fingerprint data in each fingerprint vector is arranged in the same manner as the data elements in the data vector corresponding to the fingerprint vector.

The demodulation process of the fingerprint information may be implemented by the fingerprint information post-processing circuit 105 described in FIG. 1 above, or by an integrated circuit or chip having the above demodulation function. The specific demodulation process of the fingerprint information post-processing circuit 105 may be: the fingerprint information post-processing circuit 105 acquires the fingerprint data processed by the fingerprint information front-end acquisition circuit 104 and forms a corresponding fingerprint vector, and obtains a corresponding data vector from the memory, and finally The fingerprint information post-processing circuit 105 performs vector inner product operation based on the data vector and the fingerprint vector to obtain fingerprint information.

In this embodiment, the minimum pixel unit on the terminal display screen is illuminating and modulating using mutually orthogonal data vectors, and the corresponding fingerprint data, that is, the fingerprint vector is obtained, and finally, the data vector and its corresponding fingerprint vector are demodulated to obtain an accurate image. Fingerprint information to improve fingerprint recognition performance. It can be understood that, because the data vectors are mutually orthogonal, the mutual interference between the illuminating rays of the minimum pixel units in the illuminating modulation process can be reduced. Therefore, the method for acquiring the fingerprint information in the embodiment of the present application may be Improve the accuracy of obtaining fingerprint information and improve fingerprint recognition performance.

As shown in the above description of FIG. 2, the minimum pixel unit may be one or more pixel points, and the method for acquiring the fingerprint information described in the embodiment of the present application will be described in detail below by taking the minimum pixel unit as one pixel.

It should be noted that the scanning described in the following is relative to the user, that is, a scanning of the user's finger. In the device, the scanning process in the embodiment of the present application uses the scanning data to light the fingerprint. Recognizing the illuminating modulation process of the pixel points in the area, while the illuminating modulation is performed, the pixel illuminating ray also completes the scanning of the user's finger in the above illuminating modulation process. Therefore, the scanning mentioned below may be equivalent to the pair of pixels. The illuminating modulation of the point, the scanning process is the pixel point illuminating modulation process. This will not be repeated below.

FIG. 3 is a schematic diagram of another embodiment of a method for acquiring fingerprint information according to an embodiment of the present disclosure. As shown in FIG. 3, another method for obtaining fingerprint information in the embodiment of the present application includes:

301. Calibrate the terminal display pixel points.

Between the display screens of the scanning terminal, the pixel of the terminal display screen is calibrated to obtain a correspondence between the pixel position and the PD position. The calibration method may be: sending a calibration instruction by calling the fingerprint scanning control circuit 101 to drive a certain pixel to illuminate the user's finger, and recording the position of the pixel, and the PD array senses the light reflected by the user's finger and converts it into The electrical signal finally stores the data obtained after the signal processing into the data buffer. Traverse all the data of the PD array in the data buffer area, obtain the data with the largest value, and record the PD position corresponding to the data, so as to establish the correspondence between the two according to the recorded pixel position and the PD position, (pixel, PD) pairs and save.

Similarly, according to the calibration method described above, each pixel of the terminal display screen is sequentially set to a corresponding (pixel, PD) pair and saved, and the calibration of the pixel is completed.

It should be noted that, in other embodiments, the correspondence between the pixel points and the PD may not be a one-to-one correspondence. For example, the following relationships may exist:

(1) Multiple pixels correspond to multiple PDs

In this case, when scanning, one data used for scanning is used to simultaneously illuminate a plurality of pixels, and when receiving, data of a plurality of PDs is acquired, and the data can be similarly added, averaged, etc. Get data that can reflect fingerprint information. In this process, it can be seen as binding multiple pixels into a "large" pixel, and binding multiple PDs into a "large" PD.

(2) One pixel corresponds to multiple PDs

In this case, when scanning, one data used for scanning is used to illuminate one pixel, and when receiving, data of a plurality of PDs is acquired, and the data can be similarly added, averaged, etc. Data that can reflect fingerprint information.

(3) Multiple pixels correspond to one PD

In this case, when scanning is performed, one data used for scanning is used to simultaneously illuminate a plurality of pixels, and when receiving, the value of the corresponding one PD is acquired.

302. When detecting that the touch operation is valid, determining the fingerprint identification area according to the operation area of the user's finger.

Optionally, taking the mobile terminal as an example, when the mobile terminal detects that the user's finger touches the display screen, the mobile terminal determines whether the touch operation of the finger is valid according to the actual scene, and if valid, starts the fingerprint positioning, otherwise the user does not respond to the touch. operating. If the fingerprint location is activated, the mobile terminal determines the coordinate position area where the user's finger is located as the operation area, and further, the mobile terminal determines the operation area as the fingerprint recognition area.

For example, in an application scenario in which the screen fingerprint is unlocked, when the user touches the display screen with the finger in the state of locking the screen of the mobile terminal, the mobile terminal can initiate fingerprint positioning and perform fingerprint recognition to unlock the screen after the fingerprint recognition succeeds. When the user presses the screen with a finger in an application scenario (such as a game) while the mobile terminal is in a bright screen state, the mobile terminal may not respond to the user's pressing operation.

Further, optionally, the fingerprint identification area may be one piece or multiple pieces. For example, for a scene of multi-touch (ie, several fingers are simultaneously touched), one fingerprint identification sub-area may be divided for each touch point, and each There is no contact between the fingerprint recognition sub-areas. As shown in FIG. 4, FIG. 4 is a schematic diagram of a fingerprint identification area segmentation according to an embodiment of the present application. In FIG. 4, a mobile phone screen is taken as an example. There are two touch points (two finger fingerprints) on the mobile phone screen, and two The arrangement of the positions of the touched points is not limited, and for example, they may be arranged in a left-right relationship, an upper-lower relationship, or a mixed relationship. For these two touch points, two fingerprint recognition sub-areas of AEHD and FBCG can be generated accordingly. It can be understood that these two areas are larger than the touch points (requires coverage to be detected), but it does not need to be particularly large ( It is not necessary to introduce a large number of areas that are not related to fingerprints. It can usually be set to 1 to 3 times the area of the touch point, and some redundant areas are reserved around the touch points to prevent some fingerprint data from being missed. For subsequent processing convenience, the two regions can be matrices.

303. Acquire scan data when the touch operation is valid.

The scan data is a data element in the first vector set described in the embodiment corresponding to Fig. 2 above, wherein one data element is a scan data. Therefore, the scan data may be a matrix element in the above three-dimensional matrix M[I, J, K].

For example, FIG. 5 is a schematic diagram of a three-dimensional matrix M[8, 8, 8] provided by an embodiment of the present application. An 8x8x8 three-dimensional matrix is shown in Figure 5 (i.e., I = 8, J = 8, K = 8). Among them, the three-dimensional matrix M[8,8,8] can be divided into eight two-dimensional matrices in the Z direction, and these two-dimensional matrices are respectively represented as: M1[I,J], M2[I,J], M3[ I, J], M4 [I, J], M5 [I, J], M6 [I, J], M7 [I, J], M8 [I, J]. The matrix elements at the same coordinate position (i, j) on the above eight two-dimensional matrices constitute a column vector Wi, j, for example, a column vector W1, 1 = {m[1, 1, 1], m[1, 1 , 2], m[1,1,3],m[1,1,4],m[1,1,5],m[1,1,6],m[1,1,7],m [1,1,8]}, or, W1,1={m[1,1,8],m[1,1,7],m[1,1,6],m[1,1,5 ], m[1,1,4],m[1,1,3],m[1,1,2],m[1,1,1]}, where m[1,1,1] to m[1,1,8] are matrix elements on the (1,1) coordinate of the two-dimensional matrix M1[i,j] to M8[i,j], respectively.

Similarly, a total of 64 column vectors of column vectors W1, 2, W1, 3, W1, 4, W1, 5, W2, 1, W2, 2, etc. can be obtained, wherein 64 column vectors satisfy: for the same The column vector has its own inner product of 0, for example, W1, 1*W1, 1 = 0. For any two different column vectors, the inner product between the two column vectors is not 0, for example, W1 , 1*W1, 1=a, a≠0. The three-dimensional matrix M[8, 8, 8] is sequentially constructed according to the above orthogonal conditions, and then the two-dimensional matrix of the three-dimensional matrix M[8, 8, 8] in the Z direction is used as a scanning pattern, and one matrix element is used as a matrix element. A scan of the data.

It should be noted that the correspondence between the scan data and the pixel is similar to the correspondence between the pixel and the PD, that is, one scan data corresponds to one pixel, or one scan data corresponds to multiple pixels. Or, a plurality of pixel data may be corresponding to a plurality of pixel points. For a detailed description, refer to the related description of the correspondence between the pixel points and the PD in the foregoing step 301, and details are not described herein again.

304. Scan the fingerprint identification area by using the scan data to control the pixel illumination of the display screen of the terminal.

After the scan data is acquired in the above step 302, the scan data is converted into gray scale data. Illustratively, scan data can be converted to gray scale data using Equation 1 or Equation 2 as described below.

Equation 1 is: y = (2n-1) * ((m[i, j, k]) - min) / (max-min);

Equation 2 is: y=(2n-1)*sin{0.5*π*((m[i,j,k])-min)/(max-min)};

In the

above formulas

1 and 2, y is the gradation data, n is the number of bits of the gradation data bit, and m[i, j, k] is the three-dimensional matrix M[I, J, K] (i, j, k) The matrix element of the coordinate position is any scan data, max is the maximum scan data value in the scan data group, and min is the minimum scan data value in the scan data group. The above formula 1 and formula 2 are only used as an exemplary description, and do not limit the conversion mode. Other conversion methods with the same technical effects can be used to convert the scan data into gray scale data.

For example, the gray scale data is used to control the gray level (or gray scale) of the pixels of the display screen, and each pixel point includes three sub-pixels of RGB, and all three sub-pixels are set to the same gray scale data to be displayed. The corresponding gray level is output. Generally, the bit of the gray data is 4 or 8 bits. FIG. 6 is a schematic diagram of a 4-bit gray level provided by the embodiment of the present application, and FIG. 7 is a schematic diagram of an 8-bit gray level provided by the embodiment of the present application. As shown in Fig. 6, the gradation data has 4 bits, then there are 16 gray levels (from 0 to 15), when the gradation data is 0, the brightness is the lowest, and when the gradation data is 15, the brightness is the highest. If the grayscale data has 8 bits, then there are 256 gray levels (from 0 to 255), and the relationship between the gray level and the brightness is as shown in FIG.

In a scanning mode example, the three-dimensional matrix M[8, 8, 8] as described above in FIG. 5, as described above, each of the three-dimensional matrix M[8, 8, 8] in the Z direction The dimension matrix is used as a scan pattern, wherein the matrix elements are scan data, and each scan pattern includes 64 matrix elements (ie, data vectors) each having the same matrix element number, that is, a scan pattern includes 64 matrix elements. This matrix element is a matrix element from the same sequence number in 64 column vectors, respectively.

The pixels in the fingerprint recognition area are respectively scanned by using eight scanning patterns, and each scan performs the following steps:

Step 1: Scan data is taken from each scan interval in a scan pattern, where s ≤ I.

Specifically, the scanning data extraction manner may be that all the scan data are taken out in a row-by-row manner, that is, one by one in a sequential order.

Step 2: Convert the scanned data into gray scale data to control the pixel spot illumination to scan the fingerprint recognition area.

Step 3: When all the data in the scan pattern is taken out and step 2 is performed, the scan pattern is moved in the fingerprint recognition area to continue scanning.

For example, the scanning process is described by taking one pixel corresponding to one scan data as an example. When the total number of pixels in the fingerprint recognition area is 4 times the number of pixels corresponding to the scan pattern, scanning is performed using one scanning pattern, and only scanning is completed. 1/4 of the pixels in the fingerprint recognition area. Therefore, it is also necessary to use the scan pattern to scan the pixels in the other 3/4 fingerprint recognition areas to complete the scanning of the fingerprint recognition area. Therefore, the fingerprint can be used. The pattern is scanned from the next pixel at the end of the last scan, thereby completing the scanning of the next 1/4 fingerprint recognition area. This process can be regarded as the movement of the scan pattern in the fingerprint recognition area. It should be understood that when fingerprint recognition When the number of total pixels in the area is equal to the number of pixels corresponding to the scan pattern, the scan pattern can scan the entire fingerprint recognition area once, without moving the scan pattern in the fingerprint recognition area.

Step 4: After the scan pattern traverses the entire fingerprint recognition area, the current scan is ended, and the next scan pattern is used for the next scan until the scan of the eight scan patterns is completed.

In another example, the acquiring method further includes: if the touch operation is effective, the fingerprint identification device may further correspond according to the startup operation, before the scanning of the fingerprint display area is controlled by using the scan data. The operation area determines the fingerprint identification area, and divides the fingerprint identification area into N fingerprint recognition sub-areas, where N is an integer greater than or equal to 2.

For example, in the case that the area of the fingerprint identification area is large, in order to increase the scanning rate, the fingerprint identification area may be divided into N fingerprint identification sub-areas to simultaneously scan the N fingerprint identification sub-areas, thereby improving fingerprint recognition. effectiveness. FIG. 8 is a schematic diagram of scanning a fingerprint identification sub-area according to an embodiment of the present application. If the area of the fingerprint identification area is N times of the area of the pixel corresponding to one scan pattern (that is, the number of pixels included in the fingerprint recognition area is N times the number of pixels corresponding to one scan pattern), as shown on the right side of FIG. Dividing the fingerprint identification area into N fingerprint recognition sub-areas A1 to An, where n ∈ [1, N], as shown on the left side of FIG. 8 , dividing any one of the fingerprint recognition sub-areas of A1 to An into Group G, each group includes s row scan data, s is greater than or equal to 2, and is less than or equal to the maximum row value in the scan pattern.

As shown in FIG. 4, when N is 2, the fingerprint identification area is divided into two fingerprint recognition sub-areas of AEHD and FBCG. Taking the scanning AEHD sub-area as an example, the AEHD sub-area is scanned in groups, and the specific process is as follows:

Step 5: Divide the AEHD sub-region into at least two groups, denoted as G group, where G is an integer greater than or equal to 2;

Step 6: For each group region in the group G after grouping, the AEHD sub-region is scanned according to the scanning process described in the above steps 1 to 3 using the corresponding scanning pattern.

The scanning process in steps 1 to 3 above may be sequentially performed in the above-mentioned G group region, or the scanning process in steps 1 to 3 described above may be simultaneously performed on the G group region.

Step 7: Continue to scan the AEHD area for the next scan using another scan pattern until all scan patterns have been scanned.

It should be noted that, while scanning the AEHD sub-area, the FBCG sub-area may be scanned in a similar manner, or the AEHD area may be scanned first, and then the FBCG area may be scanned, which is not limited in this application.

It should be noted that the scan data is taken out from the scan pattern in a row-by-row order to generate progressive gray scale data, and the pixel dots are illuminated line by line. In addition to the above-described progressive mode, scanning may be performed from the scan pattern according to other predetermined rules, for example, by scanning a predetermined number of scan data or taking a scan in a predetermined random manner.

In this embodiment, compared with the progressive mode, the random mode can reduce the afterglow interference between adjacent pixel points (that is, each pixel point is protected from being illuminated for a period of time after being lit, since the previous pixel point is lit When it is not extinguished, immediately illuminate an adjacent pixel, and the light of the previous pixel will interfere with the next pixel, which is called afterglow interference, further reducing the mutual interference between adjacent pixels.

305. Receive an reflected light signal reflected by a surface of the user's finger through the optical fingerprint module.

In a specific implementation, the emitted light signal reflected by the surface of the user can be received by the optical sensing device 103 as described in FIG. 1 above. FIG. 9 is a schematic diagram of an optical path of a PD array according to an embodiment of the present application. As shown in FIG. 9, the PD array in the optical fingerprint module 103 receives the reflected light signal reflected by the user's finger on the OLED screen. As described in the description of the calibration process described in step 301 above, a (pixel, PD) pair for characterizing the correspondence between pixel position and PD position has been established during the calibration process. According to the positional relationship recorded in the (pixel, PD) pair, when one of the pixels is lit, the PD receiving the reflected light signal can be determined.

It is easy to understand that for the same pixel, the number of times the pixel is illuminated is the same as the number of reflected light signals received on the corresponding PD, that is, the pixel is illuminated several times, and the PD corresponding to the pixel is received. The reflected light signal is reflected several times. The PD array can be replaced with other image sensors having similar functions, and the present application does not impose any limitation.

306. Convert the transmitted optical signal into fingerprint data, and demodulate the fingerprint data to obtain fingerprint information.

As described above in FIG. 1, the fingerprint information acquisition front end processing circuit 104 amplifies, filters, and the like the reflected light signal received by the PD to obtain fingerprint data.

Since the pixel points of the fingerprint recognition area are all scanned a plurality of times, there are a plurality of fingerprint data acquired by the corresponding PD, for example, 8 corresponding to the column vector W1, 1 in the above three-dimensional matrix M[8, 8, 8] The eight fingerprint data obtained after scanning K times of the same pixel are: v111, v112, v113, v114, v115, v116, v117, v118.

According to a certain arrangement order, the K fingerprint data are arranged to obtain a column vector V1,1, for example, V1, 1=(v111, v112, v113, v114, v115, v116, v117, v118), or V1, 1= (v118, v117, v116, v115, v114, v113, v112, v111).

Similar to the column vector Wi,j, the fingerprint data scanned by the scan data set is represented by a column vector Vi,j, wherein the V1,1 is a column vector corresponding to the fingerprint data after the fingerprint identification area is scanned using W1,1. It should be noted that the fingerprint data in the column vectors Vi, j is consistent with the order of the scan data in the column vectors Wi, j.

For the same pixel, the column vector Vi,j corresponding to the fingerprint data of the pixel and the column vector Wi,j corresponding to the scan data of the pixel are subjected to a vector inner product operation, that is, Wi, j*Vi, j= Pi, j; where * is a vector inner product operator, Wi, j is the column vector corresponding to the scan data of a pixel in the (pixel, PD) table, and Vi, j is the fingerprint data corresponding to the same pixel point. The column vector, Pi, j is the result of the orthogonal demodulation operation, that is, the fingerprint information.

Finally, all the fingerprint information Pi,j obtained by the above orthogonal demodulation operation are corresponding to the pixel points, and a data table of (pixel, Pi, j) pairs is established, and the final fingerprint information is obtained for the fingerprint identification application. Circuit 106 invokes operations such as fingerprint verification.

In this embodiment, the scanning of the pixel in the display screen of the terminal is controlled by using the scanning data constructed by the three-dimensional matrix having orthogonal characteristics to perform fingerprint scanning. It can be understood that the surface of the finger has a reflective characteristic, and the light of the pixel is reflected to form reflected light. The signal, wherein the reflected light signal carries fingerprint information, and further, converts the reflected light signal into fingerprint data, and performs orthogonal demodulation on the fingerprint data to obtain fingerprint information. Since the scan data has orthogonal characteristics, that is, the scanning process is orthogonally modulated, and the fingerprint information is obtained by orthogonally demodulating the fingerprint data obtained after scanning, and can be reduced by orthogonal modulation and quadrature demodulation. Even eliminate the ambient light and the interference between the light of each pixel to obtain more accurate fingerprint information and improve the performance of optical fingerprint recognition.

Based on the foregoing embodiments, the method for acquiring fingerprint information in the present application is described in detail below in conjunction with a specific application scenario. FIG. 10 is a hardware structure diagram of a fingerprint identification system of a smart phone.

The smart phone fingerprint recognition system includes: a light-emitting driving module 1001, a pixel array 1002, a scan driving module 1003, a multiplexing and demultiplexing module 1004, a display driving integrated circuit 1005, a touch electrode module 1006, a touch integrated circuit 1007, and a fingerprint module. Group 1008, fingerprint module integrated circuit 1009 and application processor 1010.

The display driving integrated circuit 1005 includes three parts: a modulus and digital-to-analog conversion module 10051, a control logic module 10052, and a power module 10053. The illumination driving module 1001, the pixel array 1002, the scan driving module 1003, the multiplexing and demultiplexing module 1004, the display driving integrated circuit 1005, the touch electrode module 1006, and the touch integrated circuit 1007 are inherited in the OLED display of the smart phone. The fingerprint module 1008 and the fingerprint module integrated circuit 1009 are integrated under the OLED display.

The application processor 1010 provides a control interface for the display driver integrated circuit 1005, the touch integrated circuit 1007, and the fingerprint module integrated circuit 1009, and executes a fingerprint recognition algorithm and a high-level fingerprint recognition application.

The illumination driving module 1001, the scan driving module 1003, and the control logic module 10052 can implement the fingerprint scanning function and the driving logic control function of the fingerprint scanning control circuit 101 described above in FIG.

The fingerprint module 1008 may specifically include the optical sensing device 103 (ie, PD array) and the fingerprint information collecting front-end processing circuit 104 described above in FIG. 1 to implement fingerprint data collection, filtering, and noise reduction processing.

The fingerprint module integrated circuit 1009 may specifically include the fingerprint information post-processing circuit 105 as described above in FIG. 1 to demodulate the fingerprint data to obtain corresponding fingerprint information.

Based on the foregoing embodiments, in conjunction with FIG. 10 above, the present application provides a specific method for acquiring fingerprint information, and a specific method flow is shown in FIG. 11.

As shown in FIG. 11, a schematic diagram of an embodiment of a method for acquiring fingerprint information provided by an embodiment of the present application includes:

S1: Calibrate the display pixel points.

The calibration method is similar to the description in step 301 above, and details are not described herein again.

S2: Positioning and segmentation of the fingerprint identification area.

The specified area or all the areas on the OLED display are defined as the fingerprint identification area. When the user touches the fingerprint identification area, the touch operation is detected by the touch integrated circuit, and the touch integrated circuit reports the detection result to the AP 1010. The AP 1010 starts the positioning and segmentation process of the fingerprint identification area, and determines the sub-area to be scanned. The number of sub-regions is the same as the number of fingers in the fingerprint identification area.

Specifically, as shown in FIG. 12, the touch integrated circuit 1007 provides a finger touch area to the AP 1010, and determines a fingerprint identification area according to the finger touch area, where the fingerprint identification area is larger than and includes the finger touch area, and the fingerprint identification area is The non-coincident portion of the finger touch area has a certain pixel point. For example, the ABCD area in FIG. 12 is a fingerprint recognition area. For example, the length of the B segment is 10 mm (corresponding to 220 pixels on a 2K display), and the length of the AC segment is 12 mm (corresponding to 200 pixels on a 2K display). Thus, the coordinates of points A, B, C, and D are finally determined, and the positioning process of the fingerprint identification area is completed.

Further, as described above, according to the size of the fingerprint identification area and the size of the scan pattern, the fingerprint identification area may be divided into multiple fingerprint identification sub-areas for scanning, which is a segmentation process of the fingerprint identification area, and the specific implementation is implemented. It can be realized by the above-mentioned segmentation program of the fingerprint area, and the implementation method of the segmentation program is many, and the present application does not impose any limitation.

S3: Read the scan data.

The scan data is obtained from a specially constructed three-dimensional orthogonal matrix. When the smartphone is factory tested, the scan data is stored in a memory of the smartphone, such as a non-volatile memory.

FIG. 13 is a schematic diagram of a three-dimensional fourth-order matrix provided by an embodiment of the present application. The three-dimensional fourth-order matrix includes four two-dimensional matrices, which are sequentially M1[I, J], M2[I, J], M3[I, J], and M4[I, J], the elements of which are shown in FIG. It should be understood that the elements in the four two-dimensional matrix shown in FIG. 13 constitute the scanning pattern described in the above step 304.

The matrix elements located at the same position in the above four two-dimensional matrices are taken out to form a column vector Vi,j, for example, M1[I, J], M2[I, J], M3[I, J], and M4[I , the elements in the first column of the first row (m000, m001, m002, m003) are taken out, and the column vector W1,1 is obtained, for example, W1, 1={m000, m001, m002, m003}, or, V1, 1 = {m003, m002, m001, m000}, and the like. It is easy to know that there are a total of 16 positions in the two-dimensional matrix, so that 16 column vectors can be obtained, and each matrix vector includes four matrix elements. It should be understood that the above 16 column vectors satisfy the orthogonal conditions described above. It should be noted that m000, m001, m002 and m003 are the above M[1,1,1], M[1,1,2], M[1,1,3] and M[1,1,4]. The corresponding matrix element at the position. The matrix elements at other matrix positions are analogous, and are not described here.

S4: Generate gray scale data from the scan data.

S5: Control the pixel point illumination in the fingerprint recognition area by using the gray scale data, and scan the fingerprint identification area.

Since the number of display screen pixels corresponding to the area where the fingerprint is located is generally much larger than the size of the two-dimensional matrix, for example, the fingerprint area on the 2K display may contain 220*200 pixels, and the two-dimensional matrix has only 4*4 pixels, so it needs to be multiple times. Scanning with the same two-dimensional matrix can completely cover this area. The above-mentioned three-dimensional fourth-order orthogonal matrix M[i, j, k] is taken as an example to illustrate the specific process of scanning. The specific scanning process is as follows:

1. The AP 1010 writes the element m000 of the first two-dimensional orthogonal matrix into the buffer area of the illumination driver module.

2. The illumination driving module 1001 generates a corresponding gray scale data from the matrix element m000.

3. The illumination driver module 1001 outputs the gray scale data to the control logic module 10052 of the display screen.

4. The control logic module 10052 simultaneously illuminates three sub-pixels of RGB corresponding to m000 in the upper left corner of the fingerprint area, so the pixel emits white light, and the white light intensity is determined by the gray scale data, thereby realizing the illumination modulation of the display pixel.

5. Repeat steps 1 through 4 above until the scan of m000, m010, m020, m030 scan data is completed.

6. Repeat the above 5, that is, repeat the scan with m000, m010, m020, m030 data again (may need to repeat multiple times) until the first line of the region where the fingerprint is located is scanned (for example, for the scene in this embodiment) Since the length of the AB line segment is 220 pixels, 220/4=55, it needs to be repeated 54 times to cover the AB line segment).

7. Similar to the above 6, use m100, m110, m120, m130 to complete the scanning of the second line of the fingerprint area, and so on, to complete the scanning of all lines (for AC line segment, 200/4=50, step 7 needs to repeat 49) The time can be covered, so the area where the entire fingerprint is located ABCD needs to be covered by 55x50=2750 two-dimensional matrix M1[i,j].

8. Repeat steps 1 through 7 above to complete the scanning of the other three matrices M2[I, J], M3[I, J], M4[I, J] for the area ABCD of the same fingerprint.

Those skilled in the art can understand that the above mentioned "repetition" is not exactly the same, but needs to be adaptively adjusted for new data. For example, in step 5, when scanning with m010 data, the above 1, 2, The m000 in 3, 4 needs to be replaced with m010; the other steps are similar, and will not be described here.

FIG. 14(a) is a schematic diagram showing scanning of the fingerprint identification area using the two-dimensional matrix M1[I, J] shown in FIG. 13; FIG. 14(b) shows the use of the two shown in FIG. Scanning diagram of scanning the fingerprint identification area by the dimension matrix M2[I, J]; as shown in FIG. 14(c), scanning the fingerprint identification area by using the two-dimensional matrix M3[I, J] shown in FIG. Schematic diagram; as shown in FIG. 14(d), is a scanning diagram for scanning a fingerprint identification area using the two-dimensional matrix M4[I, J] shown in FIG.

S6: Read data in the PD corresponding to the pixel, and the PD is included in the fingerprint module 1008.

S7: It is judged whether scanning of all fingerprint identification areas is completed, and if not, jumping to S3 to continue scanning.

S8: If yes, determine whether the number of scans is equal to K times, and if not, jump to S3 to continue scanning.

S9: If it is equal to K times, the fingerprint information is demodulated according to the scan data and the data in the PD.

The AP1010 reads the data in the PD during the fingerprint scanning process and the demodulation method is as follows:

Step 8: After lighting a certain pixel, the AP 1010 sends a read command to the fingerprint module integrated circuit 1009 for reading data in the PD.

Step 9: After receiving the read command, the fingerprint module integrated circuit 1009 delays a period of time Tread, for example, 50 us, and the Tread time is used to wait for the PD to output stable photoelectrically converted data.

Step 10: After the Tread time elapses, the fingerprint module integrated circuit 1009 searches for a correspondence table (pixel, PD) between the pixel pixel and the PD, reads data from the PD corresponding to the pixel, and saves the data to the buffer area. Is the original fingerprint data.

Step 11: Repeat steps 8 to 10 to complete the two-dimensional matrix M[I, j, 0], M[i, j, 1], M[i, j, 2], M[i, j, 3] respectively The PD data is read and all saved to the buffer area.

Step 12: AP1010 reads the original fingerprint data from the buffer area to form a vector Vi, j=(mij0, mij1, vij2, vij3), and the four components of Vi, j are the same position (i, j) with four two-dimensional matrices. The above data (mij0, mij1, mij2, mij3) (after conversion to grayscale data) four times of response to the same display pixel and four times of response on the corresponding PD, that is, four original fingerprint data, It contains useful signals and interference signals.

Step 13: Correlate the original fingerprint data vector Vi,j with the column vector Wi,j in the Z direction of the four-dimensional matrix used to illuminate the corresponding pixel (the inner product of the vector), ie Vi, j*Wi, j=Pi , j, Pi, j are fingerprint reflection signals obtained after the corresponding pixels weaken adjacent channel interference and ambient light interference, and write Pi, j into the data buffer area, which is then called by the fingerprint identification module.

Step 14: Repeat steps 8 to 13 above to complete the correlation operation of all corresponding pixels in the region where the fingerprint is located, and the obtained set of all Pi, j is the final fingerprint reflection signal.

It should be noted that after all the PD data is read and saved, the data on the PD needs to be cleared, otherwise the data remaining on the PD will affect the next fingerprint imaging.

The above content details the method for obtaining the fingerprint information provided in the present application. The following is a detailed description of the fingerprinting device that implements the above method for acquiring the fingerprint information.

FIG. 15 is a schematic diagram of an embodiment of a fingerprint identification apparatus according to an embodiment of the present application. Based on the foregoing embodiments, as shown in FIG. 15 , a fingerprint identification apparatus provided by an embodiment of the present application includes:

The obtaining module 1501 is configured to: if the startup operation on the screen of the terminal is detected, acquire a first vector set, where the first vector set includes A mutually orthogonal data vectors, and each of the data vectors includes multiple data. An element, the A being an integer greater than one;

The illumination control module 1502 is configured to sequentially control the minimum pixel unit illumination in the fingerprint recognition area by using the data elements in each of the data vectors until the control illumination of all the minimum pixel units in the fingerprint identification area is completed to obtain a second vector set corresponding to the fingerprint identification area, where the second vector set carries fingerprint information;

The demodulation module 1503 is configured to demodulate the second set of vectors by using the first set of vectors to obtain all fingerprint information in the fingerprint identification area.

It should be noted that the obtaining module 1501 can be implemented based on the fingerprint scanning control circuit 101 described in FIG. 1 above. For the specific function, refer to the related description in step 201 in FIG. 2 and step 303 in FIG. No longer. Similarly, the illumination control module 1502 can be implemented based on the optical sensing device 103 and the fingerprint information collection front-end processing circuit 104 described above in FIG. 1 . For the specific functions, refer to

steps

202 and 203 in FIG. 2 and

steps

304 and 305 in FIG. 3 . The relevant description in the description will not be repeated here. The demodulation module 1503 can be implemented based on the fingerprint information post-processing circuit 105 described in FIG. 1 above. For the specific function, refer to the description in step 204 of FIG. 2 and step 306 in FIG. 3, and details are not described herein again. .

In one example, the first set of vectors is constructed from a three-dimensional matrix M[I, J, K], and I, J, and K are sequentially three-dimensional matrices M[I, J, K] in the X, Y, and Z directions. The upper dimension, in which the column vectors of the three-dimensional matrix M[I, J, K] having different coordinate positions on the X and Y planes are orthogonal to each other, A is equal to the product of I and J, and one data vector is a three-dimensional matrix. Any of M[I, J, K] has the same column position in the X and Y planes, and K data elements are included in one data vector. For a specific method for constructing the first vector set by using the three-dimensional matrix and other related descriptions, refer to the related description of the three-dimensional matrix M[I, J, K] in the above step 201, and refer to the related description about the scan data in the above step 303, I will not repeat them here.

In another example, one data vector may correspond to one minimum pixel unit, or may also correspond to multiple minimum pixel units, and in the above two correspondences, one minimum pixel unit may have only one pixel point, or It is composed of multiple pixels. For a description of the correspondence between the data vector and the minimum element, refer to the related description of the control illuminating process in the above step 203, and a similar description of the correspondence between the pixel point and the PD in the above step 301, and details are not described herein again.

In another example, the second vector set includes A fingerprint vectors, and the fingerprint vector includes fingerprint information collected during the minimum pixel unit illumination process; for related description of the second vector set, refer to step 204 above. The description of the demodulation section is not limited herein.

In another example, the fingerprint recognition apparatus further includes a conversion module 1504 for converting data elements in each data vector into standardized display data for normalizing display data for controlling illumination of the smallest pixel unit. Specifically, when the normalized display data includes grayscale data, the conversion module 1504 is specifically configured to convert the data elements in each data vector into grayscale data according to the following formula 1 or formula 2; the formula one is: y=(2n -1)*((m[i,j,k])-min)/(max-min); Equation 2 is: y=(2n-1)*sin{0.5*π*((m[i,j) , k])-min)/(max-min)}; in the above formula 1 and formula 2, y is gray scale data, n is the number of bits of the gray bit data, m[i, j, k] Is any one of the data elements in the first data set, i ∈ [1, I]; j ∈ [1, J], k ∈ [1, K], max is the largest element value in the first data set, min is The smallest element value in the first data set. For other related descriptions of the above gray scale data conversion, refer to the related descriptions in FIG. 6 and FIG. 7 above, and details are not described herein again.

In another example, the fingerprint identification area includes N fingerprint identification sub-areas, N is an integer greater than 1, and the startup operation is a touch operation. The fingerprint identification apparatus further includes: a determination module 1505, configured to detect the display screen of the terminal The touch operation determines the fingerprint identification area according to the operation area corresponding to the touch operation, and divides the fingerprint identification area into N fingerprint recognition sub-areas, and the operation area is within the area of the fingerprint identification area. For other related descriptions of the fingerprint identification area being divided into multiple fingerprint identification sub-areas, refer to the related descriptions of step 304 and FIG. 8 above, and details are not described herein again.

In this embodiment, other descriptions of the fingerprint identification device include, but are not limited to, the descriptions in FIG. 2, FIG. 3, FIG. 10, and FIG. 11, which are not described herein again.

FIG. 16 is a schematic diagram of another embodiment of a fingerprint identification apparatus according to an embodiment of the present application. Based on the foregoing embodiment, as shown in FIG. 16 , another fingerprint identification device provided by the embodiment of the present application may be a variety of mobile terminals (such as a mobile phone or a tablet), or may be various other fingerprint recognition functions. The electronic device includes: a PD array 1601, a readout integrated circuit 1602, and a processor 1603.

The processor 1603 may be a general-purpose processor (such as a CPU), and the general-purpose processor may be packaged together with other circuits on a chip to form a system on chip (SoC), also called an AP (application processor), or an AP chip. For example, the processor of the Huawei Kirin series, or the processor of the Qualcomm Snapdragon series, may also be other integrated circuit chips, and the application does not limit this.

In another example, the readout integrated circuit 1602 may be specifically integrated with one or more of the fingerprint scanning control circuit 101, the fingerprint information collecting front end processing circuit 104, and the fingerprint information post processing circuit 105 in the corresponding embodiment of FIG. 1 described above. Circuit. The readout integrated circuit 1602 can be implemented based on an ASIC, an FPGA, or the like. The above three circuits may be packaged into one chip, or, without limiting, one or more of the circuits may be separately packaged into one chip.

In another example, the above-mentioned general-purpose processor (such as a CPU) can implement the fingerprint scanning control circuit 101, the fingerprint information collecting front-end processing circuit 104, and the fingerprint information in the corresponding embodiment of FIG. 1 by executing corresponding operation instructions. The function of one or more of the circuits 105 is processed.

In an example, the fingerprint identification device may further include a storage device, which may be a built-in memory of the processor 1603, or an external storage connected to the processor 1603 (such as various ROMs, flashes, disks, and optical disks). Wait). The storage device is configured to store the scan data obtained by constructing the three-dimensional matrix, the fingerprint data obtained after scanning the fingerprint area, and the operation instruction, so that the processor 1603 can invoke the operation instruction to perform the acquisition of the fingerprint information provided in the embodiment of the present application. method.

Compared with the optical fingerprint identification system described in FIG. 1 above, the fingerprint identification device in this embodiment may at least one of the fingerprint scanning control circuit 101, the fingerprint information post-processing circuit 105, and the fingerprint identification application circuit 106. It is integrated in the processor 1603 to cause the processor 1603 to execute the above-described method of acquiring fingerprint information.

In another example, the fingerprint device may further include the OLED display screen in the hardware system structure of the fingerprint recognition system on the smart phone in FIG. 10, wherein the application processor AP1010 functions as a processor to execute the method for acquiring the fingerprint information.

For other descriptions in the fingerprint identification device in this embodiment, refer to the descriptions of related parts in FIG. 1, FIG. 10, FIG. 2 and FIG. 3, and details are not described herein again.

The present application also provides a computer storage medium suitable for use in an optical fingerprinting system, the computer storage medium including an operation instruction, when the operation instruction is run on a computer, the computer can be executed as The related operations in steps 201 to 204 in FIG. 2 and steps 301 to 306 in FIG. 3 described above. The computer storage medium may specifically be a built-in memory in the processor 1603 described above or an external memory connected to the processor 1603.

The application also provides a computer program product that, when run on a computer, causes the computer to perform all of the operations described in Figure 2 or Figure 3 above.

A person skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working process of the system, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

In the several embodiments provided by the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division. In actual implementation, there may be another division manner, for example, multiple modules or components may be combined or Can be integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.

The functional modules in the various embodiments of the present application may be integrated into one processing unit, or each module may exist physically separately, or two or more modules may be integrated into one module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules.

The above embodiments are only used to explain the technical solutions of the present application, and are not limited thereto; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still The technical solutions described in the embodiments are modified, or some of the technical features are equivalently replaced; and the modifications or substitutions do not deviate from the technical solutions of the embodiments of the present application.

Claims

A method for acquiring fingerprint information, comprising:

If the startup operation on the screen of the terminal is detected, acquiring a first vector set, where the first vector set includes A mutually orthogonal or mutually quasi-orthogonal data vectors, each of the data vectors including multiple data elements , the A is an integer greater than one;

Controlling, by using the data elements in each of the data vectors, the minimum pixel unit illumination in the fingerprint recognition area, until the control illumination of all the smallest pixel units in the fingerprint identification area is completed, to obtain the corresponding fingerprint identification area. a second vector set, where the second vector set carries fingerprint information;

Decoding the second set of vectors with the first set of vectors to obtain all fingerprint information in the fingerprint identification area.
The method of claim 1 wherein

The controlling, by using the data elements in each of the data vectors, the minimum pixel unit illumination in the fingerprint identification area, including:

(1) first controlling the minimum pixel unit illumination in a predetermined order using a data element having the same serial number in each of the data vectors;

(2) using another data element of the same number in each of the data vectors to control the minimum pixel unit illumination in the predetermined order;

(3) repeatedly performing the processes (1) and (2) until the minimum pixel unit illumination within the fingerprint recognition area is controlled using the same data element of the last one of each of the data vectors;

(4) If the control illumination of all the smallest pixel units in the fingerprint recognition area has not been completed, the processes (1), (2), and (3) are repeatedly performed until completion.
Method according to claim 1 or 2, characterized in that

The first vector set is constructed by a three-dimensional matrix M[I, J, K], and I, J, K are sequentially the three-dimensional matrix M[I, J, K] in the X, Y, Z directions. a dimension in which column vectors of different coordinate positions on the X and Y planes in the three-dimensional matrix M[I, J, K] are orthogonal or mutually quasi-orthogonal, and the A is equal to the product of I and J And one of the data vectors is a column vector having the same coordinate position on the X and Y planes of any one of the three-dimensional matrices M[I, J, K], and one of the data vectors includes K data elements.
The method of claim 2 wherein:

One of the data vectors corresponds to one or more minimum pixel units, and one or more of the minimum pixel units includes one or more pixel points.
The method of claim 1 wherein

The second vector set includes the A fingerprint vectors, and the fingerprint vector includes fingerprint information collected during a minimum pixel unit illumination process;

Demodulating the second set of vectors by using the first set of vectors to obtain all the fingerprint information in the fingerprint identification area, including:

Performing a vector inner product operation using the data vector and the fingerprint vector corresponding to the same minimum pixel unit until the vector inner product operation corresponding to all the minimum pixel units in the fingerprint identification area is completed, to obtain all the fingerprints in the fingerprint identification area. information.
Method according to claim 1 or 5, characterized in that

Before the controlling, by the data element in each of the data vectors, the minimum pixel unit illumination in the fingerprint identification area, the method further includes:

The data elements in each of the data vectors are converted to standardized display data for controlling the illumination of the smallest pixel unit.
The method of claim 6 wherein:

The standardized display data includes grayscale data, and converting the data elements in each of the data vectors into standardized display data includes:

Converting data elements in each of the data vectors into the gray scale data according to the following formula 1 or formula 2;

The formula one is: y=(2 n -1)*((m[i,j,k])-min)/(max-min);

The formula 2 is: y=(2 n -1)*sin{0.5*π*((m[i,j,k])-min)/(max-min)};

In the above formula 1 and formula 2, the y is the gradation data, the n is the number of bits of the bit position of the gradation data, and the m[i, j, k] is the first Any one of the data elements in the data set, i ∈ [1, I]; j ∈ [1, J], k ∈ [1, K], the max is the largest element value in the first data set, The min is the smallest element value in the first data set.
The method of claim 1 wherein

The fingerprint identification area includes N fingerprint identification sub-areas, the N is an integer greater than 1, and the startup operation is a touch operation; the method further includes:

If the touch operation on the display screen of the terminal is detected, determining the fingerprint identification area according to an operation area corresponding to the touch operation, and dividing the fingerprint identification area into N pieces of the fingerprint identification sub-area, The operating area is within the area of the fingerprint identification area.
A fingerprint identification device, comprising:

An acquiring module, configured to acquire a first vector set, if the startup operation on the screen of the terminal is detected, where the first vector set includes A mutually orthogonal or mutually quasi-orthogonal data vectors, each of the data vectors Include a plurality of data elements, the A being an integer greater than one;

a lighting control module, configured to sequentially control, by using data elements in each of the data vectors, minimum pixel unit illumination in the fingerprint identification area until completion of control illumination of all minimum pixel units in the fingerprint identification area to obtain a second vector set corresponding to the fingerprint identification area, where the second vector set carries fingerprint information;

And a demodulation module, configured to demodulate the second set of vectors by using the first set of vectors to obtain all fingerprint information in the fingerprint identification area.
The device according to claim 9, wherein the illumination control module is specifically configured to perform the following operations:

(1) first controlling the minimum pixel unit illumination in a predetermined order using a data element having the same serial number in each of the data vectors;

(2) using another data element of the same number in each of the data vectors to control the minimum pixel unit illumination in the predetermined order;

(3) repeatedly performing the processes (1) and (2) until the minimum pixel unit illumination within the fingerprint recognition area is controlled using the same data element of the last one of each of the data vectors;

(4) If the control illumination of all the smallest pixel units in the fingerprint recognition area has not been completed, the processes (1), (2), and (3) are repeatedly performed until completion.
Device according to claim 9 or 10, characterized in that

The first vector set is constructed by a three-dimensional matrix M[I, J, K], and I, J, K are sequentially the three-dimensional matrix M[I, J, K] in the X, Y, Z directions. a dimension in which column vectors of different coordinate positions on the X and Y planes in the three-dimensional matrix M[I, J, K] are orthogonal or mutually quasi-orthogonal, and the A is equal to the product of I and J And one of the data vectors is a column vector having the same coordinate position on the X and Y planes of any one of the three-dimensional matrices M[I, J, K], and one of the data vectors includes K data elements.
The device of claim 10 wherein:

One of the data vectors corresponds to one or more minimum pixel units, and one or more of the minimum pixel units includes one or more pixel points.
The device of claim 9 wherein:

The second vector set includes the A fingerprint vectors, and the fingerprint vector includes fingerprint information collected during a minimum pixel unit illumination process;

The demodulation module is specifically configured to perform a vector inner product operation by using a data vector and a fingerprint vector corresponding to the same minimum pixel unit, until the vector inner product operation corresponding to all the minimum pixel units in the fingerprint identification area is completed, to obtain The fingerprint identifies all fingerprint information in the area.
The device according to claim 9 or 13, wherein the fingerprint identification device further comprises:

a conversion module for converting data elements in each of the data vectors into standardized display data for controlling illumination of a minimum pixel unit.
The device of claim 14 wherein:

The standardized display data includes gray scale data, and the conversion module is specifically configured to:

Converting data elements in each of the data vectors into the gray scale data according to the following formula 1 or formula 2;

The formula one is: y=(2 n -1)*((m[i,j,k])-min)/(max-min);

The formula 2 is: y=(2 n -1)*sin{0.5*π*((m[i,j,k])-min)/(max-min)};

In the above formula 1 and formula 2, the y is the gradation data, the n is the number of bits of the bit position of the gradation data, and the m[i, j, k] is the first Any one of the data elements in the data set, i ∈ [1, I]; j ∈ [1, J], k ∈ [1, K], the max is the largest element value in the first data set, The min is the smallest element value in the first data set.
The device of claim 9 wherein:

The fingerprint identification area includes N fingerprint identification sub-areas, the N is an integer greater than 1, and the startup operation is a touch operation; the fingerprint identification apparatus further includes:

a determining module, configured to determine the fingerprint identification area according to an operation area corresponding to the touch operation, and divide the fingerprint identification area into N fingerprints, if the touch operation on the display screen of the terminal is detected A sub-area is identified, the operation area being within an area of the fingerprint identification area.
A fingerprint identification device, comprising:

Memory and processor;

The memory is configured to store an operation instruction;

The processor is configured to invoke the operation instruction to perform the method for acquiring fingerprint information according to any one of claims 1 to 8.
A computer storage medium, comprising: an operation instruction, when the operation instruction is run on a computer, to cause the computer to perform acquisition of fingerprint information according to any one of claims 1 to 8 method.