CN104636650A - Sliding type capacitance fingerprint identification method and system and unblocking method of system - Google Patents
Sliding type capacitance fingerprint identification method and system and unblocking method of system Download PDFInfo
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- CN104636650A CN104636650A CN201510060524.4A CN201510060524A CN104636650A CN 104636650 A CN104636650 A CN 104636650A CN 201510060524 A CN201510060524 A CN 201510060524A CN 104636650 A CN104636650 A CN 104636650A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
- G06V40/1306—Sensors therefor non-optical, e.g. ultrasonic or capacitive sensing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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Abstract
The invention provides a sliding type capacitance fingerprint identification method and system and an unblocking method of the sliding type capacitance fingerprint identification system. The sliding type capacitance fingerprint identification system comprises an electrode matrix, multiple analog scanning modules, an analog-digital conversion module and a processing module, wherein the electrode matrix is composed of multiple electrodes, the analog-digital conversion module is used for converting analog signals into digital signals, and the processing module is used for receiving the digital signals and identifying a formed code series. Each electrode is independently connected with the corresponding analog scanning module, and user fingerprint analog signals are obtained according to the changes of capacitance signals of the electrodes. The analog scanning modules, the analogue-digital conversion module and the processing module are connected in sequence. According to the sliding type capacitance fingerprint identification system, sliding type pressure sense and touch type capacitance identification are combined, it is guaranteed that the encryption effect is good enough, the system is simpler in structure and smaller in size, encryption methods and decryption methods are simple, and the encryption cost is effectively reduced.
Description
Technical field
The present invention relates to fingerprint identification technology, particularly relate to the unlock method of the recognition methods of a kind of slidingtype capacitive fingerprint, system and system thereof.
Background technology
Along with iphone 5s implants fingerprint recognition, increasing terminal handheld device all starts to add this efficient confidentiality hardware design good again.Fingerprint recognition common in the market mainly comprises image-type fingerprint recognition, sonic detection formula fingerprint recognition, slidingtype pressure-sensitive fingerprint recognition, and the touch capacitance type fingerprint identification of full scan etc.Such as, existing capacitance type fingerprint recognition technology is specially: have a lot of tiny electrode, due to electric capacity C=ε * ε 0* S/d, wherein C (electric capacity), ε, ε 0(specific inductive capacity), S (contact area), d (contact distance).Therefore, the peak valley of fingerprint is different and can produce different capacitance to the distance of electrode.By the different size digital signal that ADC (analog to digital converter) as shown in Figure 1 obtains, and through MCU (miniature computing controller), obtain result as shown in Figure 2, be converted to a complicated finger print data finally by a series of digital-to-analogue and calculating.
The last of scanning theory of above-mentioned fingerprint recognition mode is all carry out scanning to whole finger-print region to judge, then to set foot-point analysis, improve greatly although precision etc. have, but certainly will also with serving other the design of shortage advantage, such as volume is large, high to the requirement of hardware device, the series of problems such as price.
Summary of the invention
In view of above-mentioned the deficiencies in the prior art part, the object of the present invention is to provide the unlock method of the recognition methods of a kind of slidingtype capacitive fingerprint, system and system thereof, be intended to solve existing fingerprint identification technology selling at exorbitant prices, hardware device requires high problem.
In order to achieve the above object, this invention takes following technical scheme:
A kind of slidingtype capacitive fingerprint recognition system, wherein, described system comprises: the electrode matrix be made up of multiple electrode, multiple analog scanning module, for simulating signal being converted to the analog-to-digital conversion module of digital signal and being used for receiving described digital signal, identify the processing module forming password string, each electrode is an independent and analog scanning model calling respectively, capacitance signal according to electrode changes, and obtains user fingerprints simulating signal; Analog scanning module, analog-to-digital conversion module and processing module connect successively.
Described fingerprint recognition system, wherein, described electrode matrix is made up of one or more transversely arranged electrode block, and described electrode block is rearranged by multiple electrode vertical.
Described fingerprint recognition system, wherein, described analog scanning module specifically comprises: described analog scanning module specifically comprises: the first electric capacity, second electric capacity, 3rd electric capacity, the 4th electric capacity and the 5th electric capacity, one end of the first electric capacity is connected high level with one end of the second electric capacity; The other end of the first electric capacity is connected with one end of one end of the 3rd electric capacity and the 5th electric capacity, the other end ground connection of the 3rd electric capacity; The other end of the second electric capacity is connected with the other end of one end of the 4th electric capacity and the 5th electric capacity, the other end ground connection of the 4th electric capacity, the other end of the 5th electric capacity and Electrode connection.
Described fingerprint recognition system, wherein, described analog-to-digital conversion module is MOS functional module, the grid of described MOS functional module is connected with one end of described 5th electric capacity, MOS functional module source electrode is predetermined output voltage, the drain electrode of MOS functional module is output terminal, and the drain electrode of MOS functional module is also by the first resistance eutral grounding, and described output terminal is connected with processing module.
Described fingerprint recognition system, wherein, described processing module is identified as binary number specifically for the digital signal exported by output terminal, forms the specific cryptosystem string of certain length.
The recognition methods of a kind of slidingtype capacitive fingerprint, wherein, described method comprises: A, obtain user fingerprints simulating signal by electrode matrix and with the analog scanning module of each Electrode connection in electrode matrix; B, described analog signal information is converted to digital signal and outputs to processing module; C, receive described digital signal by processing module and form password string.
Described fingerprint identification method, wherein, described steps A is specially: the capacitance type sensor consisted of electrode matrix and analog scanning module, according to electrode capacitance signal intensity, is converted to simulating signal by user fingerprints.
Described fingerprint identification method, wherein, described step B is specially: by MOS functional module, described simulating signal is converted to digital signal, is outputted in processing module by output terminal.
Described fingerprint identification method, wherein, described step C is specially: by processor, and the digital signal that output terminal exports is identified as binary number and forms the specific password string of certain length.
Use a method for slidingtype capacitive fingerprint recognition system as above, wherein, described method comprises: S1, acquisition user finger slip over the user fingerprints signal of electrode matrix generation and form corresponding specific cryptosystem string by processing module, complete typing operation; S2, again obtain user finger fingerprint signal, and with the comparison of described specific cryptosystem string, if conform to, then perform unlocking operation.
Beneficial effect: the unlock method of a kind of slidingtype capacitive fingerprint provided by the invention recognition methods, system and system thereof, in conjunction with slidingtype pressure sensitivity and touch electric capacity identification, while the enough cipher round results of guarantee, make the structure of system simpler, volume reduces, encryption and unlock method simply, effectively reduce encryption cost, have a good application prospect.
Accompanying drawing explanation
Fig. 1 is the fingerprint recognition system structural representation of prior art.
Fig. 2 is the fingerprint recognition result schematic diagram of prior art.
Fig. 3 is the structured flowchart of the slidingtype capacitive fingerprint recognition system of the specific embodiment of the invention.
Fig. 4 is the structural representation of the electrode matrix of the slidingtype capacitive fingerprint recognition system of the specific embodiment of the invention.
Fig. 5 is the circuit diagram of the analog scanning module of the slidingtype capacitive fingerprint recognition system of the specific embodiment of the invention.
Fig. 6 is the circuit diagram of the analog-to-digital conversion module of the slidingtype capacitive fingerprint recognition system of the specific embodiment of the invention.
Fig. 7 is the method flow diagram of the slidingtype capacitive fingerprint recognition methods of the specific embodiment of the invention.
Fig. 8 is the method schematic diagram using the slidingtype capacitive fingerprint recognition system of the specific embodiment of the invention to carry out fingerprint recognition.
Embodiment
The invention provides the unlock method of the recognition methods of a kind of slidingtype capacitive fingerprint, system and system thereof.For making object of the present invention, technical scheme and effect clearly, clearly, developing simultaneously referring to accompanying drawing, the present invention is described in more detail for embodiment.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
As shown in Figure 3, be the specific embodiment of slidingtype capacitive fingerprint recognition system of the present invention.Described system comprises: the electrode matrix 100 be made up of multiple electrode, only illustrates one in multiple analog scanning module 200(figure), analog-to-digital conversion module 300 and processing module 400.
Electrode one_to_one corresponding, each electrode and an analog scanning model calling in described analog scanning module and electrode matrix.Analog scanning module, analog-to-digital conversion module and processing module connect successively.
The concrete recognition principle of said system is: the fingerprint of people has lug boss and depressed part, the capacitance signal produced when lug boss and depressed part and electrode contact has obvious difference, analog scanning module 200 can amplify this signal difference, and sends it in analog-to-digital conversion module 300.Analog-to-digital conversion module 300 can change above-mentioned capacitance simulation signal into digital signal (such as low and high level signal), and by this digital data transmission in processing module 400, processing module 400 receives described digital electric signal, identify and form the specific password string (such as 123456789 etc.) with certain length, completing encryption.Certainly, described analog-to-digital conversion module can adopt any suitable analog to digital conversion circuit.
Concrete, described electrode matrix 100 is made up of one or more transversely arranged electrode block 110.As shown in Figure 4, described electrode block 110 is made up of (as shown being 12) multiple electrode 120 homeotropic alignment.During use, the finger of user slides along electrode spread direction.
The fingerprint width (distance namely between adjacent fingerprint convex center) of people is generally all greater than 150um, and therefore, can be set between 50-150un by the width x of electrode, certainly, also can be less than 50um, but can not be greater than fingerprint width, general is set to 50um.Described interelectrode distance y is minimum can be set to 20um, certainly, also can arrange larger distance according to actual conditions.The width z of described electrode block 110 is generally 2mm, can certainly be set to the size that other are suitable.The generally pleasant touch slip width of finger is 2-6mm, therefore, preferably, can arrange 2-3 electrode block 120 and form electrode matrix 100
More specifically, as shown in Figure 5, described analog scanning module 200 specifically comprises: the first electric capacity C1, the second electric capacity C2, the 3rd electric capacity C3, the 4th electric capacity C4 and the 5th electric capacity C5.One end of first electric capacity C1 is connected with one end of the second electric capacity C2.As shown in Figure 5, this link is called that L holds.When reality uses, L end is high level, capacitor charging.It is preferred that when needs use fingerprint identification function, just holding pull-up to be high level L, enter duty, then maintaining low level when usually using, thus play the effect of power saving.
The other end of the first electric capacity C2 is connected with one end of the 3rd electric capacity C3, is also connected with one end of the 5th electric capacity C5.As shown in Figure 5, this link is called that R holds.Certainly, R end is also connected with analog-to-digital conversion module 300, the other end ground connection of the 3rd electric capacity C3.The other end of the second electric capacity C2 is connected with one end of the 4th electric capacity C4, is also connected with the other end of the 5th electric capacity C5, and as shown in Figure 5, this link is called that S holds, S end and described Electrode connection, the other end ground connection of the 4th electric capacity C4.
In actual use, when not having user's finger contacts electrode, R end holds weighing apparatus level with both hands with S.Along with user's finger and electrode contact, S is held and changes with R end signal.
More specifically, as shown in Figure 6, described analog-to-digital conversion module can be MOS functional module.The grid G of described MOS functional module is connected (namely R holds) with one end of described 5th electric capacity, and source S 1 is predetermined output voltage, such as 3.3V.Drain D is output terminal, and drain D is also by the first resistance R1 ground connection, and described output terminal OUT is connected with processing module.The trigger voltage of described MOS functional module can be determined according to actual conditions.
In actual use, when the signal of R end is greater than trigger voltage, metal-oxide-semiconductor conducting, exports high level, when the signal of R end is less than trigger voltage, and metal-oxide-semiconductor not conducting, output terminal output low level.By the way the simulating signal that R holds is converted to digital signal.
Concrete, processing module 400 receives the multilevel digital signal that this output terminal exports, and is changed, and is identified as binary number (such as 0 and 1), forms a password string.Certain described processing module can also perform the conventional function of some processors, and such as comparison password string carries out the operation etc. unlocked according to comparison result.
Adopt recognition system of the present invention, suppose that finger lateral length is 1cm, about 70 test points so can be set.Consider that the horizontal fingerprint of normal person is probably at about 30, its actual password degree of depth (password is forced the probability decoded) is 30 powers (namely can reach 1,000,000,000 at most) of 2.Even and if adopt an electrode matrix comprising the electrode block of 12 electrodes, its password degree of depth is also 1/4000. far exceed general cryptography requirements.
Above-mentioned fingerprint recognition mode, it is low to the treatment capacity of digital signal, account form is simple and convenient, simply can adopt and such as just correspond to 1 when digital signal is high level, correspond to 0 when digital signal is low level, form one section of binary coded string that can reflect the length-specific of finger print information be made up of 0 and 1.
Its simple data processing method, effectively can reduce equipment cost, ensures sufficient encryption accuracy requirement while simplified design.
The present invention also provides the recognition methods of a kind of slidingtype capacitive fingerprint.As shown in Figure 7, described method comprises:
S100, obtain the simulating signal of user fingerprints by electrode matrix and with the analog scanning module of each Electrode connection in electrode matrix.
S200, described analog signal information is converted to digital signal.
S300, receive described digital signal by processing module and form corresponding specific cryptosystem string.
Concrete, S100 specifically comprises: the capacitance type sensor consisted of electrode matrix and analog scanning module, is converted to capacitance simulation signal by user fingerprints information.S200 specifically comprises: by MOS functional module, capacitance simulation signal is converted to digital signal, is outputted in processing module by output terminal.S300 specifically comprises: by processor, and the digital signal that output terminal exports is identified as binary number, forms password string.As detailed above.
Present invention also offers a kind of method using slidingtype capacitive fingerprint recognition system as above, as shown in Figure 8, described method comprises:
Typing operates: S10, acquisition user finger slip over the user fingerprints signal of electrode matrix generation and form specific cryptosystem string by processing module.
Unlocking operation: S20, again obtain user finger fingerprint signal, and with the comparison of described specific cryptosystem string, if conform to, then unlock.
When unlocking operation, when password string does not conform to, then prompt cipher mistake, does not unlock.Certainly, it is preferred that the threshold value of code error number of times can be pre-set, when the continuous unsuccessful number of times of unlocking operation reaches predetermined threshold value, then lock, forbid unlocking.Complete certain operation or after the regular hour, just reopen unlocking function.
In sum, the unlock method of a kind of slidingtype capacitive fingerprint provided by the invention recognition methods, system and system thereof, in conjunction with slidingtype pressure sensitivity and touch electric capacity identification, while the enough cipher round results of guarantee, the structure making system is simpler, and volume reduces, encryption and unlock method simple, effectively reduce encryption cost, have a good application prospect.
Be understandable that, for those of ordinary skills, can be equal to according to technical scheme of the present invention and the present invention's design and replace or change, and all these change or replace the protection domain that all should belong to the claim appended by the present invention.
Claims (10)
1. a slidingtype capacitive fingerprint recognition system, it is characterized in that, described system comprises: the electrode matrix be made up of multiple electrode, multiple analog scanning module, for simulating signal being converted to the analog-to-digital conversion module of digital signal and being used for receiving described digital signal, identify the processing module forming password string, each electrode is an independent and analog scanning model calling respectively, capacitance signal according to electrode changes, and obtains user fingerprints simulating signal; Analog scanning module, analog-to-digital conversion module and processing module connect successively.
2. fingerprint recognition system according to claim 1, is characterized in that, described electrode matrix is made up of one or more transversely arranged electrode block, and described electrode block is rearranged by multiple electrode vertical.
3. fingerprint recognition system according to claim 1, is characterized in that, described analog scanning module specifically comprises: the first electric capacity, second electric capacity, 3rd electric capacity, the 4th electric capacity and the 5th electric capacity, one end of the first electric capacity is connected high level with one end of the second electric capacity; The other end of the first electric capacity is connected with one end of one end of the 3rd electric capacity and the 5th electric capacity, the other end ground connection of the 3rd electric capacity; The other end of the second electric capacity is connected with the other end of one end of the 4th electric capacity and the 5th electric capacity, the other end ground connection of the 4th electric capacity, the other end of the 5th electric capacity and Electrode connection.
4. fingerprint recognition system according to claim 3, it is characterized in that, described analog-to-digital conversion module is MOS functional module, the grid of described MOS functional module is connected with one end of described 5th electric capacity, the source electrode of MOS functional module is predetermined output voltage, the drain electrode of MOS functional module is output terminal, and the drain electrode of MOS functional module is also by the first resistance eutral grounding, and described output terminal is connected with processing module.
5. fingerprint recognition system according to claim 4, is characterized in that, described processing module is identified as binary number specifically for the digital signal exported by output terminal, forms the specific cryptosystem string of certain length.
6. the recognition methods of slidingtype capacitive fingerprint, is characterized in that, described method comprises:
A, obtain user fingerprints simulating signal by electrode matrix and with the analog scanning module of each Electrode connection in electrode matrix;
B, described analog signal information is converted to digital signal and outputs to processing module;
C, receive described digital signal by processing module and form password string.
7. fingerprint identification method according to claim 6, is characterized in that, described steps A is specially: the capacitance type sensor consisted of electrode matrix and analog scanning module, according to electrode capacitance signal intensity, is converted to simulating signal by user fingerprints.
8. fingerprint identification method according to claim 7, is characterized in that, described step B is specially: by MOS functional module, described simulating signal is converted to digital signal, is outputted in processing module by output terminal.
9. fingerprint identification method according to claim 8, is characterized in that, described step C is specially: by processor, and the digital signal that output terminal exports is identified as binary number and forms the specific cryptosystem string of certain length.
10. adopt as arbitrary in claim 1-5 as described in the unlock method of slidingtype capacitive fingerprint recognition system, it is characterized in that, described method comprises:
S1, acquisition user finger slip over the user fingerprints signal of electrode matrix generation and form specific password string by processing module, complete typing operation;
S2, again obtain user finger fingerprint signal, and with the comparison of described specific cryptosystem string, if conform to, then perform unlocking operation.
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Application publication date: 20150520 |