CN112784826A - Image identification method, device and equipment - Google Patents
Image identification method, device and equipment Download PDFInfo
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- CN112784826A CN112784826A CN202110051128.0A CN202110051128A CN112784826A CN 112784826 A CN112784826 A CN 112784826A CN 202110051128 A CN202110051128 A CN 202110051128A CN 112784826 A CN112784826 A CN 112784826A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
- G06V10/225—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition based on a marking or identifier characterising the area
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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Abstract
The specification discloses an image recognition method, an image recognition device and image recognition equipment.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, and a device for image recognition.
Background
At present, a user can perform code scanning operation through mobile terminal equipment such as a mobile phone and a tablet computer to quickly complete business processing such as login, friend adding, payment and the like, and great convenience is brought to the actual life of the user.
In the code scanning process, the terminal can acquire the image to be recognized including the two-dimensional code through the camera, and then can carry out processing such as graying, binarization and the like on the acquired image to be recognized to determine the two-dimensional code to be recognized from the image to be recognized, and then recognize the two-dimensional code.
In practical application, if the area occupied by the two-dimensional code in the image to be recognized is small, the terminal needs to spend more time to process other areas in the image to be recognized, and thus more time is needed to determine the two-dimensional code from the image to be recognized. Moreover, if the two-dimensional code occupies a small area in the image to be recognized, images in other areas in the image to be recognized cause great interference to the terminal in recognizing the two-dimensional code, so that the terminal may hardly recognize the two-dimensional code.
Based on the prior art, a more rapid and efficient way of image recognition is needed.
Disclosure of Invention
The present specification provides an image recognition method, which is used to solve the problem that the image recognition mode in the prior art has low recognition efficiency, so that inconvenience is brought to users in the service processing process.
The present specification provides a method of image recognition, comprising:
collecting an image to be identified;
extracting a two-dimensional code from the acquired image to be identified;
determining the position of the two-dimensional code in the image to be identified;
adjusting the acquisition range according to the determined position;
and acquiring the image to be identified again through the adjusted acquisition range, and identifying the two-dimensional code in the acquired image to be identified again.
The present specification provides an image recognition apparatus, which is used to solve the problem that the image recognition mode in the prior art has low recognition efficiency, so that inconvenience is brought to a user in a service processing process.
The present specification provides an apparatus for image recognition, comprising:
the acquisition module acquires an image to be identified;
the extraction module is used for extracting the two-dimensional code from the acquired image to be identified;
the determining module is used for determining the position of the two-dimensional code in the image to be identified;
the adjusting module adjusts the acquisition range according to the determined position;
and the identification module is used for re-acquiring the image to be identified through the adjusted acquisition range and identifying the two-dimensional code in the re-acquired image to be identified.
The present specification provides an image recognition device, which is used to solve the problem that the image recognition mode in the prior art has low recognition efficiency, so that inconvenience is brought to a user in a service processing process.
The present specification provides an apparatus for image recognition comprising one or more memories and a processor, the memories storing a program and configured to perform the following steps by the one or more processors:
collecting an image to be identified;
extracting a two-dimensional code from the acquired image to be identified;
determining the position of the two-dimensional code in the image to be identified;
adjusting the acquisition range according to the determined position;
and acquiring the image to be identified again through the adjusted acquisition range, and identifying the two-dimensional code in the acquired image to be identified again.
The technical scheme adopted by the specification can achieve the following beneficial effects:
in one or more embodiments of the present description, a terminal may collect an image to be recognized, extract a two-dimensional code from the collected image to be recognized, determine a position of the two-dimensional code in the image to be recognized, adjust a collection range according to the determined position, re-collect the image to be recognized through the adjusted collection range, and recognize the two-dimensional code in the re-collected image to be recognized.
According to the method, after the acquired image to be recognized is obtained, the position of the two-dimensional code in the image to be recognized can be determined from the image to be recognized, and the acquisition range can be adjusted according to the position of the two-dimensional code. Compared with the acquisition range before adjustment, the acquisition range after adjustment is used for acquiring the image to be identified again, the acquisition of the images in other areas except the two-dimensional code can be effectively reduced, so that the interference of the acquired images in other areas to the two-dimensional code identification process is effectively reduced, the identification efficiency of the two-dimensional code is improved, and convenience is brought to a user in the service processing process.
Drawings
The accompanying drawings, which are included to provide a further understanding of the specification and are incorporated in and constitute a part of this specification, illustrate embodiments of the specification and together with the description serve to explain the specification and not to limit the specification in a non-limiting sense. In the drawings:
FIG. 1 is a schematic diagram of a process for image recognition provided herein;
fig. 2 is a schematic diagram of a terminal provided in this specification acquiring an image to be recognized;
fig. 3A to 3C are schematic diagrams illustrating that the terminal identifies the two-dimensional code through the adjusted acquisition range;
fig. 4A and 4B are schematic diagrams of the terminal adjusting the acquisition range according to the position and size of the two-dimensional code in the acquired image to be recognized, and acquiring the image to be recognized again;
FIG. 5 is a schematic diagram of an apparatus for image recognition provided herein;
fig. 6 is a schematic diagram of an apparatus for image recognition provided in the present specification.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in one or more embodiments of the present disclosure, the technical solutions in one or more embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in one or more embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present specification without any inventive step should fall within the scope of protection of the present specification.
Fig. 1 is a schematic diagram of an image recognition process provided in this specification, which specifically includes the following steps:
s100: and collecting an image to be identified.
The user can perform code scanning operation through the held terminal, and perform service processing in a code scanning mode, where the terminal may refer to a mobile terminal such as a mobile phone and a tablet computer, and the service executed by the user through the code scanning operation may refer to account login, payment, and the like.
The terminal can collect the image to be identified through a preset image collecting device so as to identify the collected image to be identified in the subsequent process. The image acquisition device mentioned here may be a camera provided on the terminal.
The image acquired by the terminal through the camera can be displayed on a screen of the terminal. Therefore, in this specification, an image captured by the camera displayed in the screen of the terminal may be referred to as an image to be recognized.
When a user actually executes a code scanning operation, the terminal usually displays an image recognition frame in a screen of the terminal, and the image recognition frame is mainly used for prompting the user to align a two-dimensional code needing code scanning to the image recognition frame so as to facilitate the terminal to recognize the two-dimensional code. Therefore, in this specification, an image captured by the terminal through the camera may be displayed on the screen of the terminal, and the terminal may use a partial image framed in the image displayed on the screen of the terminal by the image recognition frame as the captured image to be recognized, as shown in fig. 2.
Fig. 2 is a schematic diagram of a terminal provided in this specification acquiring an image to be recognized.
In fig. 2, the terminal may perform image acquisition through a camera, and display an acquired image to be recognized on a screen of the terminal. In other words, the entire image displayed in the screen of the terminal may be the image to be recognized, which is acquired by the terminal through the camera. Of course, the terminal may also use a partial image framed in an image displayed in a screen of the terminal by the image recognition frame shown in fig. 2 as the captured image to be recognized.
S102: and extracting the two-dimensional code from the acquired image to be identified.
After the terminal collects the image to be recognized, the two-dimensional code contained in the image to be recognized can be extracted, so that the extracted two-dimensional code can be recognized in the subsequent process. The terminal may extract the two-dimensional code included in the image to be recognized through a conventional manner, such as binarization, graying, and the like, and will not be described in detail here.
S104: and determining the position of the two-dimensional code in the image to be identified.
After the terminal extracts the two-dimensional code from the acquired image to be recognized, the position of the two-dimensional code in the image to be recognized can be further determined. The specific way to determine the position may be: when the acquired image to be recognized is an image displayed on a screen of the terminal, the terminal may construct a coordinate system for the entire image to be recognized (or an area corresponding to the screen of the entire terminal), so as to determine the position of the two-dimensional code in the image to be recognized through the coordinate system. Similarly, when the acquired image to be recognized is a partial image framed by the image recognition frame in the screen of the terminal, a coordinate system can be constructed for the partial image, so that the position of the two-dimensional code in the image to be recognized is determined through the constructed coordinate system.
The position of the two-dimensional code determined by the terminal in the image to be identified may refer to a coordinate where the center of the two-dimensional code is located in the constructed coordinate system, may also be a continuous coordinate of a side of the two-dimensional code in the constructed coordinate system, or may be a coordinate of any vertex of the two-dimensional code in the constructed coordinate system when the two-dimensional code is a square two-dimensional code. Of course, the above mentioned positions may be represented in many ways, and are not necessarily illustrated here.
In this specification, the terminal may determine the position of the two-dimensional code in the image to be recognized, and may further determine the size of the two-dimensional code. The size of the two-dimensional code determined by the terminal does not refer to the actual size of the two-dimensional code, but is the size of the two-dimensional code in the acquired image to be recognized.
When a user executes code scanning operation through the terminal, the distance between the terminal and the two-dimensional code, namely the distance between the terminal and the two-dimensional code, or the distance between the terminal and the two-dimensional code, influences the size of the two-dimensional code displayed in the screen of the terminal. If the distance between the terminal and the two-dimensional code is short, the two-dimensional code image acquired by the terminal displayed in the screen of the terminal is usually large, and if the distance between the terminal and the two-dimensional code is long, the two-dimensional code image displayed in the screen of the terminal is usually small. Therefore, the size of the two-dimensional code determined here in the captured image to be recognized can be understood as the size of the two-dimensional code image captured by the terminal displayed in the screen of the terminal.
After the terminal determines the position and/or the size of the two-dimensional code in the acquired image to be recognized, the position and/or the size can be used as a basis, and in the subsequent process, the acquisition range is adjusted, so that the adjusted acquisition range can be adapted to the position and/or the size of the two-dimensional code in the image to be recognized.
In this specification, after extracting the two-dimensional code from the acquired image to be recognized, the terminal may recognize the extracted two-dimensional code, and if the service information included in the two-dimensional code can be successfully recognized, the terminal may perform service processing according to the recognized service information, so that the terminal does not need to adjust the acquisition range. If the other areas except the two-dimensional code in the acquired image to be recognized are too large, the interference is caused on the terminal to recognize the two-dimensional code, so that the terminal cannot successfully recognize the service information from the two-dimensional code, the position and/or the size of the two-dimensional code in the acquired image to be recognized can be determined, and the acquisition range is adjusted in the subsequent process.
Of course, no matter whether the terminal can identify the service information from the two-dimensional code, the terminal can determine the position and/or size of the two-dimensional code in the image to be identified after acquiring the image to be identified. If the terminal can identify the service information from the two-dimensional code, the acquisition range does not need to be adjusted subsequently according to the determined position and/or size of the two-dimensional code in the image to be identified, and otherwise, the acquisition range can be adjusted according to the position and/or size.
S106: and adjusting the acquisition range according to the determined position.
S108: and acquiring the image to be identified again through the adjusted acquisition range, and identifying the two-dimensional code in the acquired image to be identified again.
The terminal can adjust the acquisition range according to the determined position and size of the two-dimensional code in the image to be recognized, wherein under the condition that the size of the two-dimensional code presented in the screen of the terminal is basically unchanged, the area ratio of the two-dimensional code in the image to be recognized acquired by the terminal through the adjusted acquisition range is larger than the area ratio of the two-dimensional code in the image to be recognized acquired by the terminal through the adjusted acquisition range.
In other words, in the image to be recognized which is re-acquired by the terminal through the adjusted acquisition range, the areas except the two-dimensional code are reduced compared with the areas except the two-dimensional code in the image to be recognized which is acquired before. In this way, the interference caused by other areas in the re-acquired image to be recognized to the terminal in the process of recognizing the two-dimensional code is effectively reduced, so that the recognition efficiency of the terminal on the two-dimensional code is improved, as shown in fig. 3A to 3C.
Fig. 3A to 3C are schematic diagrams illustrating that the terminal identifies the two-dimensional code through the adjusted acquisition range.
The terminal can acquire image information through the camera and take an image framed by an image identification frame displayed in a screen of the terminal as an acquired image to be identified. The areas of the image to be recognized except the two-dimensional code are represented by the shaded parts in fig. 3A.
The terminal can extract the two-dimensional code in the acquired image to be identified and identify the service information contained in the extracted two-dimensional code. When it is determined that the service information is not successfully identified from the two-dimensional code, the position and the size of the two-dimensional code in the acquired image to be identified can be determined, and the acquisition range is adjusted accordingly. In order to improve the recognition efficiency of the terminal on the two-dimensional code and reduce the interference caused by other areas except the two-dimensional code in the acquired image to be recognized, the terminal can reduce the image recognition frame displayed in the screen of the terminal according to the determined size of the two-dimensional code in the image to be recognized, and move the adjusted image recognition frame from the set position in the screen of the terminal to the position of the two-dimensional code in the image to be recognized, so that the center position of the adjusted image recognition frame is overlapped with the center position of the two-dimensional code. Here, the setting position referred to herein may refer to an initial position when the image recognition frame is displayed in the screen of the terminal.
The adjusted image recognition frame can be regarded as the adjusted collection range, so that the terminal can re-collect the image to be recognized through the adjusted collection range. Since the relative position between the terminal and the two-dimensional code remains substantially unchanged when the user performs the code scanning operation through the terminal, the size and position of the two-dimensional code in the screen of the terminal also remain substantially unchanged. Based on the image information, the terminal can acquire the image information again, and the partial image framed by the adjusted image identification frame is used as the image to be identified which is acquired again. In the re-collected image to be identified, the area ratio of the two-dimensional code is obviously increased compared with the area ratio of the two-dimensional code in the image to be identified collected before the terminal. As shown in fig. 3B, in the image to be recognized which is re-acquired by the terminal through the adjusted acquisition range, the sizes of other regions except the two-dimensional code are obviously reduced compared with those of the other regions shown in fig. 3A, so that the interference caused by the other regions in the image to be recognized which are re-acquired by the terminal to the terminal in the process of recognizing the two-dimensional code is also reduced, and the efficiency of recognizing the two-dimensional code by the terminal is further improved.
Further, the terminal can also adjust the position and the size of the image recognition frame to be in a state of being matched with the position and the size of the two-dimensional code in the collected image to be recognized. The adjusted image recognition frame can be regarded as the adjusted collection range. The terminal may reacquire image information through the camera, and use the image framed by the adjusted image recognition frame as the reacquired image to be recognized, as shown in fig. 3C.
As can be seen from fig. 3C, in the re-acquired image to be recognized, the two-dimensional code occupies substantially all of the area in the re-acquired image to be recognized. Therefore, the interference of other areas to the terminal in the process of identifying the two-dimensional code is basically eliminated, and the efficiency of identifying the two-dimensional code by the terminal is further improved.
In the above-described example, the two-dimensional codes are all substantially in the middle of the screen of the terminal, and in practical applications, the two-dimensional codes are likely not to be in the middle of the screen of the terminal when the user performs the code scanning operation. In order to further embody the technical characteristics mentioned in this specification that the acquisition range is adjusted according to the position and/or size of the determined two-dimensional code in the acquired image to be recognized, and the image to be recognized is acquired again through the adjusted acquisition range, a case where the two-dimensional code is located in a position deviated from the center position in the screen of the terminal will be exemplified as shown in fig. 4A and 4B.
Fig. 4A and 4B are schematic diagrams of the terminal adjusting the acquisition range according to the position and size of the two-dimensional code in the acquired image to be recognized, and acquiring the image to be recognized again.
In fig. 4A, the two-dimensional code in the image captured by the terminal is located in the upper left corner of the image recognition frame displayed on the screen of the terminal, and the terminal may use the image framed by the image recognition frame as the captured image to be recognized. The terminal can extract the two-dimensional code from the image to be recognized, determine the position and the size of the two-dimensional code in the image to be recognized, and adjust the acquisition range, namely adjust the image recognition frame according to the position and the size.
The terminal can reacquire the image information and take the image framed by the adjusted image recognition frame as the reacquired image to be recognized. As can be seen from fig. 4B, the terminal may adjust the image recognition frame from the initial middle position (i.e., the aforementioned set position) of the screen of the terminal to the position where the two-dimensional code is located in the screen of the terminal, and may adjust the size of the image recognition frame to a state matching the size of the two-dimensional code in the acquired image to be recognized (i.e., the size of the two-dimensional code in the screen of the terminal). Therefore, the interference of other areas in the re-collected image to be recognized on the terminal in the process of recognizing the two-dimensional code can be effectively reduced by the terminal through the adjusted collection range, so that the recognition efficiency of the terminal on the two-dimensional code is improved, and convenience is brought to a user in the service processing process.
In the process that the terminal determines the re-collected image to be recognized through the adjusted image recognition frame, the image recognition frame can be adjusted from the set position in the screen of the terminal to the position of the two-dimensional code in the collected image to be recognized according to a preset dynamic effect, and the size of the image recognition frame is adjusted to the size of the two-dimensional code in the collected image to be recognized, so that the adjusted image recognition frame is obtained. The dynamic effect mentioned here is not particularly limited, and may be set according to actual requirements.
When the user executes the code scanning operation, the screen of the terminal can be free of the image recognition frame, and the user can align the terminal to the two-dimensional code according to the image collected by the camera displayed on the screen of the terminal. After the terminal collects the image to be recognized, the position and/or the size of the two-dimensional code in the image to be recognized can be determined, the collection range is adjusted, and the image to be recognized is collected again according to the adjusted collection range. The user of the acquisition range is not visible actually, the terminal completes adjustment of the acquisition range in the background, and the two-dimensional code is identified again through the adjusted acquisition range, so that the identification efficiency of the two-dimensional code is improved.
According to the method, after the acquired image to be recognized is obtained, the position of the two-dimensional code in the image to be recognized can be determined from the image to be recognized, and the acquisition range can be adjusted according to the position of the two-dimensional code. Compared with the acquisition range before adjustment, the acquisition range after adjustment acquires the image to be recognized again, so that the acquisition of the terminal on other areas except the two-dimensional code can be reduced, and equivalently, the acquisition range after adjustment eliminates partial other areas in the image to be recognized which is acquired before. Therefore, the interference of other areas in the acquired image to be recognized to the terminal in the process of recognizing the two-dimensional code can be effectively reduced, the recognition efficiency of the two-dimensional code is further improved, and convenience is brought to a user in the process of business processing.
It should be noted that, in the code scanning process of the user, the terminal actually collects multiple frames of images to be recognized. Since the user usually has a certain jitter (usually a slight jitter) during the code scanning process, the position and size of the two-dimensional code in each frame of image to be recognized are different. Based on this, in this specification, the terminal may collect at least one frame of image to be identified, and determine, for each frame of image to be identified that is collected, a position and/or a size of a two-dimensional code included in the image to be identified. And the terminal adjusts the acquisition range according to each position and/or each size of the determined two-dimensional code in the at least one frame of image to be recognized, re-acquires the image to be recognized according to the adjusted acquisition range, and recognizes the two-dimensional code in the re-acquired image to be recognized.
After the terminal determines the positions and/or sizes of the two-dimensional codes in the images to be recognized, the terminal can determine the average position and/or the average size of the two-dimensional codes in the at least one acquired image to be recognized, and the acquisition range is adjusted according to the determined average position and/or the determined average size of the two-dimensional codes in the at least one acquired image.
Under the condition that the relative position between the terminal and the two-dimensional code is basically unchanged, the size of an image acquired by a camera displayed in a screen of the terminal indicates the actual acquisition range of the camera. The actual acquisition range is not typically changed (since the size of the screen of the terminal is typically fixed). However, the terminal may determine which part of the acquired image needs to be identified according to the determined position and size of the two-dimensional code in the acquired image to be identified. Therefore, the adjustment acquisition range referred to in the present specification may actually be an adjustment recognition range. For example, in fig. 3B, the size of the image to be recognized collected by the terminal is the same as that of the image to be recognized collected by the terminal in fig. 3A, that is, the collection range is the same, but the terminal may adjust the recognition range according to the determined position and size of the two-dimensional code in the image to be recognized, so as to determine that only the image recognition needs to be performed on the area in the image recognition frame shown in fig. 3B.
It should be further noted that the image recognition method provided in this specification does not adjust the acquisition range in a zooming manner, that is, under the condition that the focal length is kept substantially unchanged (that is, the position and size of the two-dimensional code in the screen of the terminal are substantially unchanged), the acquisition range is adjusted by determining the position and size of the two-dimensional code in the image to be recognized, so that the acquisition range after adjustment is used to reduce the acquisition of the terminal for other areas except the two-dimensional code, thereby reducing the interference of the other areas on the process of recognizing the two-dimensional code by the terminal, and improving the recognition efficiency of the two-dimensional code.
Based on the same idea, the present specification further provides a corresponding image recognition apparatus, as shown in fig. 5, for the method for image recognition provided above for one or more embodiments of the present specification.
Fig. 5 is a schematic diagram of an image recognition apparatus provided in this specification, which specifically includes:
the acquisition module 501 acquires an image to be identified;
an extraction module 502, which extracts a two-dimensional code from the acquired image to be identified;
the determining module 503 is configured to determine a position of the two-dimensional code in the image to be recognized;
an adjusting module 504 for adjusting the acquisition range according to the determined position;
the identification module 505 is configured to reacquire the image to be identified through the adjusted acquisition range, and identify the two-dimensional code in the reacquired image to be identified.
The identification module 505 is configured to identify service information included in the extracted two-dimensional code;
the adjusting module 504, if it is determined that the service information is not identified by the identifying module, adjusts the acquisition range according to the determined position.
The determining module 503 determines the position and/or size of the two-dimensional code in the image to be recognized;
the adjusting module 504 adjusts an acquisition range according to the determined position and/or size of the two-dimensional code in the image to be recognized.
The recognition module 505 takes the image included in the image to be recognized in the adjusted collection range as the image to be recognized which is collected again.
An image recognition frame is displayed at a set position in the device screen;
the acquisition module 501 takes the image framed by the image identification frame in the device screen as an acquired image to be identified;
the recognition module 505 is configured to adjust the position and/or size of the image recognition frame in the device screen according to the adjusted acquisition range, so as to obtain an adjusted image recognition frame; and taking the image framed by the adjusted image recognition frame as a to-be-recognized image to be acquired again.
The adjusting module 504 adjusts the image recognition frame from the set position to the position of the two-dimensional code in the image to be recognized and/or adjusts the size of the image recognition frame to the size of the two-dimensional code in the image to be recognized according to a preset dynamic effect.
Based on the image recognition method described above, the present specification also correspondingly provides an apparatus for image recognition, as shown in fig. 6. The apparatus includes one or more memories and a processor, the memories storing programs and configured to perform the following steps by the one or more processors:
collecting an image to be identified;
extracting a two-dimensional code from the acquired image to be identified;
determining the position of the two-dimensional code in the image to be identified;
adjusting the acquisition range according to the determined position;
and acquiring the image to be identified again through the adjusted acquisition range, and identifying the two-dimensional code in the acquired image to be identified again.
In one or more embodiments of the present description, a terminal may collect an image to be recognized, extract a two-dimensional code from the collected image to be recognized, determine a position of the two-dimensional code in the image to be recognized, adjust a collection range according to the determined position, re-collect the image to be recognized through the adjusted collection range, and recognize the two-dimensional code in the re-collected image to be recognized.
According to the method, after the acquired image to be recognized is obtained, the position of the two-dimensional code in the image to be recognized can be determined from the image to be recognized, and the acquisition range can be adjusted according to the position of the two-dimensional code. Compared with the acquisition range before adjustment, the acquisition range after adjustment is used for acquiring the image to be identified again, the acquisition of the images in other areas except the two-dimensional code can be effectively reduced, so that the interference of the acquired images in other areas to the two-dimensional code identification process is effectively reduced, the identification efficiency of the two-dimensional code is improved, and convenience is brought to a user in the service processing process.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, AtmelAT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to one or more embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. One or more embodiments of the specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The above description is merely one or more embodiments of the present disclosure and is not intended to limit the present disclosure. Various modifications and alterations to one or more embodiments of the present description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement or the like made within the spirit and principle of one or more embodiments of the present specification should be included in the scope of the claims of the present specification.
Claims (29)
1. A method of image recognition, comprising:
acquiring an image to be identified by a terminal;
extracting a two-dimensional code from the acquired image to be identified;
establishing a coordinate system for the image to be identified, and determining the position of the two-dimensional code in the image to be identified through the established coordinate system; the position of the two-dimensional code in the image to be recognized is a coordinate of the center of the two-dimensional code in the coordinate system, or the position of the two-dimensional code in the image to be recognized is a continuous coordinate of the edge of the two-dimensional code in the coordinate system;
adjusting the acquisition range according to the determined position;
and acquiring the image to be identified again through the adjusted acquisition range, and identifying the two-dimensional code in the acquired image to be identified again.
2. The method of claim 1, wherein an image recognition frame is displayed at a set position in a screen of the terminal.
3. The method according to claim 2, wherein the captured image to be recognized is a partial image framed by the image recognition frame in an image displayed on a screen of the terminal.
4. The method according to claim 2, wherein the adjusting the acquisition range specifically comprises:
adjusting the position and/or size of the image recognition frame in the screen of the terminal to obtain an adjusted image recognition frame;
through the collection scope after the adjustment, gather the image of waiting to discern again to discern the two-dimensional code in the image of waiting to discern of reacquisition, specifically include:
and adopting the adjusted image recognition frame to re-collect the image to be recognized, and recognizing the two-dimensional code in the re-collected image to be recognized.
5. The method according to claim 4, wherein the adjusting the position and/or size of the image recognition frame in the screen of the terminal to obtain the adjusted image recognition frame specifically comprises:
according to a preset dynamic effect, adjusting the image recognition frame from the set position to the position of the two-dimensional code in the image to be recognized and/or adjusting the size of the image recognition frame to the size of the two-dimensional code in the image to be recognized to obtain an adjusted image recognition frame; the set position is an initial position of the image recognition frame when the image recognition frame is displayed in a screen of the terminal.
6. The method of claim 1, wherein prior to adjusting the acquisition range based on the determined position, the method further comprises:
and identifying the service information contained in the extracted two-dimensional code.
7. The method according to claim 1, wherein the reacquiring of the image to be recognized is performed through the adjusted acquisition range, and specifically comprises:
and taking the image contained in the image to be identified in the adjusted acquisition range as the image to be identified which is acquired again.
8. The method according to claim 2, wherein the acquiring of the image to be recognized specifically comprises:
taking an image framed by the image recognition frame in a screen of the terminal as an acquired image to be recognized;
through the collection scope after the adjustment, gather the image of waiting to discern again, specifically include:
and taking the image framed by the adjusted image recognition frame as a to-be-recognized image to be acquired again.
9. The method of claim 4, wherein the position of the adjusted image recognition frame coincides with the position of the two-dimensional code in the image to be recognized, and the size of the adjusted image recognition frame is the same as the size of the two-dimensional code in the image to be recognized.
10. The method according to claim 1, wherein the adjusting the acquisition range according to the determined position specifically comprises:
and when the service information of the two-dimensional code is not identified, adjusting the acquisition range according to the determined position.
11. The method according to claim 4, wherein the area ratio of the two-dimensional code in the image to be recognized acquired again by using the adjusted image recognition frame is greater than the area ratio of the two-dimensional code in the image to be recognized acquired in the acquisition range before adjustment.
12. The method according to claim 1, wherein the determining of the position of the two-dimensional code in the image to be recognized specifically includes:
collecting at least one frame of image to be identified;
and determining the position of a two-dimensional code contained in the image to be recognized aiming at each acquired image to be recognized.
13. The method according to claim 12, wherein the adjusting the acquisition range according to the determined position specifically comprises:
determining the average position and/or size of the two-dimensional code in the at least one acquired frame of image to be identified according to the position of the two-dimensional code in the image to be identified, wherein the two-dimensional code is contained in the image to be identified;
and adjusting the acquisition range according to the determined average position and/or size.
14. The method of claim 1, wherein the adjusting of the acquisition range is done by the terminal in the background.
15. An apparatus for image recognition, comprising:
the terminal acquires an image to be identified;
the extraction module is used for extracting the two-dimensional code from the acquired image to be identified;
the determining module is used for constructing a coordinate system aiming at the image to be identified and determining the position of the two-dimensional code in the image to be identified through the constructed coordinate system; the position of the two-dimensional code in the image to be recognized is a coordinate of the center of the two-dimensional code in the coordinate system, or the position of the two-dimensional code in the image to be recognized is a continuous coordinate of the edge of the two-dimensional code in the coordinate system;
the adjusting module adjusts the acquisition range according to the determined position;
and the identification module is used for re-acquiring the image to be identified through the adjusted acquisition range and identifying the two-dimensional code in the re-acquired image to be identified.
16. The apparatus of claim 15, wherein an image recognition frame is displayed at a set position in a screen of the terminal.
17. The apparatus according to claim 16, wherein the captured image to be recognized is a partial image framed by the image recognition frame in an image displayed on a screen of the terminal.
18. The apparatus of claim 16, wherein the adjustment module is specifically configured to:
adjusting the position and/or size of the image recognition frame in the screen of the terminal to obtain an adjusted image recognition frame;
the identification module is specifically configured to:
and adopting the adjusted image recognition frame to re-collect the image to be recognized, and recognizing the two-dimensional code in the re-collected image to be recognized.
19. The apparatus of claim 18, wherein the adjustment module is specifically configured to:
and adjusting the image recognition frame from the set position to the position of the two-dimensional code in the image to be recognized and/or adjusting the size of the image recognition frame to the size of the two-dimensional code in the image to be recognized according to a preset dynamic effect to obtain the adjusted image recognition frame.
20. The apparatus of claim 15, wherein the identification module identifies service information included in the extracted two-dimensional code.
21. The apparatus according to claim 15, wherein the recognition module takes an image included in the image to be recognized in the adjusted capturing range as the image to be recognized to be captured again.
22. The apparatus according to claim 16, wherein the acquiring module takes an image framed by the image recognition frame in a screen of the terminal as an acquired image to be recognized;
and the recognition module takes the image framed by the adjusted image recognition frame as the image to be recognized which is acquired again.
23. The apparatus of claim 18, wherein the position of the adjusted image recognition frame coincides with the position of the two-dimensional code in the image to be recognized, and the size of the adjusted image recognition frame is the same as the size of the two-dimensional code in the image to be recognized.
24. The apparatus of claim 15, wherein the adjustment module is specifically configured to:
and when the service information of the two-dimensional code is not identified, adjusting the acquisition range according to the determined position.
25. The apparatus according to claim 18, wherein the area ratio of the two-dimensional code in the image to be recognized collected again by using the adjusted image recognition frame is greater than the area ratio of the two-dimensional code in the image to be recognized collected in the collection range before adjustment.
26. The apparatus of claim 15, wherein the determining module is specifically configured to:
collecting at least one frame of image to be identified;
and determining the position of a two-dimensional code contained in the image to be recognized aiming at each acquired image to be recognized.
27. The apparatus of claim 26, wherein the adjustment module is specifically configured to:
determining the average position and/or size of the two-dimensional code in the at least one acquired frame of image to be identified according to the position of the two-dimensional code in the image to be identified, wherein the two-dimensional code is contained in the image to be identified;
and adjusting the acquisition range according to the determined average position and/or size.
28. The apparatus of claim 15, the adjustment of the acquisition range is done by the terminal in the background.
29. An apparatus for image recognition, the apparatus comprising one or more memories and a processor, the memories storing programs and configured to perform the following steps by the one or more processors:
acquiring an image to be identified by a terminal;
extracting a two-dimensional code from the acquired image to be identified;
establishing a coordinate system for the image to be identified, and determining the position of the two-dimensional code in the image to be identified through the established coordinate system; the position of the two-dimensional code in the image to be recognized is a coordinate of the center of the two-dimensional code in the coordinate system, or the position of the two-dimensional code in the image to be recognized is a continuous coordinate of the edge of the two-dimensional code in the coordinate system;
adjusting the acquisition range according to the determined position;
and acquiring the image to be identified again through the adjusted acquisition range, and identifying the two-dimensional code in the acquired image to be identified again.
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| CN110188748B (en) * | 2019-04-30 | 2021-07-13 | 上海上湖信息技术有限公司 | Image content identification method, device and computer readable storage medium |
| CN117744683A (en) * | 2021-04-01 | 2024-03-22 | 支付宝(杭州)信息技术有限公司 | Two-dimensional code identification method, device and equipment |
| CN113255390A (en) * | 2021-04-16 | 2021-08-13 | 摩拜(北京)信息技术有限公司 | Code scanning method, electronic device and storage medium |
| CN113807475B (en) * | 2021-08-11 | 2024-08-13 | 杭州博联智能科技股份有限公司 | Method, system, device and medium for sharing a large number of devices based on two-dimension code |
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| TW201941109A (en) | 2019-10-16 |
| TWI690853B (en) | 2020-04-11 |
| WO2019179234A1 (en) | 2019-09-26 |
| CN108830266B (en) | 2020-12-08 |
| CN108830266A (en) | 2018-11-16 |
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