TWM606868U - Device for identifying identity based on document image and living body image - Google Patents

Abstract

A device for identifying identity based on document images and live images. After obtaining the target image from the target certificate and capturing the live image, it can be used more rigorously on the Internet by comparing the similarity between the target image and the live image The mechanism of identity confirmation, and achieves the technical effect of increasing the convenience of online account opening / online insurance and real-time completion of the online general account opening or insurance.

Description

Device for identifying identity based on document image and live image

A body identification device, in particular, a device that identifies identities based on document images and live images.

With the advancement of the Internet and related technologies, many services that used to require applicants to handle in person can also be completed through the Internet. However, some services, such as account opening and insurance, are still restricted by relevant domestic laws and regulations due to the lack of rigorous methods of identity verification through the Internet. Applicants cannot complete account opening and insurance online.

In terms of account opening, although it is currently possible to open a digital account online through online banking or mobile banking, the relevant laws and regulations require that the level of the digital account opened is different depending on the method of identity verification, which is the lower level. Compared with a digital account opened after a more complete identity confirmation, a digital account has many restrictions, for example, some transactions cannot be executed or the amount of money that can be used during the transaction is lower. If you want to open a digital account with more complete functions, it is still the same as opening a general account. You need to check the identity of the account holder by the bank’s service staff or through video. Usually it means to confirm whether the certificate provided by the account holder is indeed Held by the account holder. However, the counters need to cooperate with the bank's business hours, and the video call needs to wait for the service staff to connect, which is not convenient for the account holder.

In order to allow account holders who open an account online through Internet banking or mobile banking to not need to confirm their identity at a special counter or through video, currently some banks also provide account holders using digital certificates such as natural person certificates during the online account opening process Confirm your identity. However, natural person certificates need to be read through a card reader, but not all account holders have a card reader to use, and even if the account holder has a card reader, it is often due to the operating system of the client device connected to the card reader The environment or the policy of the application or browser running in the operating system causes the situation where the card reader cannot be accessed or the digital certificate cannot be obtained through the card reader, which also causes inconvenience and trouble for the account holder.

In addition, there are similar situations in the insurance process, that is, the relevant laws and regulations require that the insured person needs to face-to-face with the salesperson, and the salesperson shall explain the insurance content to the insured person and verify the applicant's identity based on the documents provided by the insured person , Wait for the note from the insurance company to complete the insurance. Therefore, it is inconvenient for the insured to agree on a time with the salesperson and to cooperate with the working hours of the insurance company’s note-taking staff.

In summary, it can be seen that there have been problems in the prior art for a long time that the current lack of rigorous identity verification has made it impossible for account holders to complete online account opening or insurance holders to complete online insurance. Therefore, it is necessary to propose improved technical means. To solve this problem.

In view of the prior art’s current inability to perform sufficiently rigorous identity verification, it is not convenient for account holders to complete online account opening or for policy holders to complete online insurance. This creation reveals a device for identifying identity based on document images and live images. among them:

The device for identifying identities based on document images and live images disclosed in this creation at least includes: an image capture module for capturing live images; a processing module for executing computer commands and generating after executing computer commands: Image acquisition module and image comparison module; image acquisition module to obtain the target image from the target certificate; image comparison module to compare the target image and the live image and generate similarity, and generate similarity The corresponding identification result.

The device disclosed in this creation is as above. The difference between the device and the previous technology is that this creation solves the problem of the previous technology by obtaining the target image from the target certificate and capturing the live image, then comparing the similarity between the target image and the live image. Existing problems, and can achieve the technical effect of completing the insurance through the Internet without waiting for a note.

The following will describe in detail the features and implementation of this creation in conjunction with the drawings and embodiments. The content is sufficient to enable anyone familiar with relevant skills to easily and fully understand the technical means used in this creation to solve technical problems and implement them accordingly. The achievable effect of this creation.

This creation can judge whether the person being photographed is the holder of the identity certificate by comparing the photo of the identity certificate with the photo taken immediately.

The following is a schematic diagram of the components of the device for identifying identities based on ID images and live images mentioned in the creation of "Figure 1" to illustrate the operation of this creation. As shown in "Figure 1", the device 100 of this creation includes a processing module 101, an image capture module 110, and may also include an attachable chip reading module 130, a display module 140, an input module 170, Communication module 190. Wherein, the apparatus 100 may be a computing device.

The computing device mentioned in this creation includes but is not limited to one or more processing modules, one or more memory modules, and hardware such as buses connecting different hardware components (including memory modules and processing modules). Body components. Through the included multiple hardware components, the computing device can load and execute the operating system, make the operating system run on the computing device, and can also execute software or programs. In addition, the computing device also includes a housing, and the above-mentioned hardware components are arranged in the housing.

The bus of the computing device mentioned in this creation can include one or more types, for example, including data bus, address bus, control bus, and extended function bus ( expansion bus), and/or local bus (local bus). The bus bars of computing devices include but are not limited to the Industry Standard Architecture (ISA) bus, Peripheral Component Interconnect (PCI) bus, and the Video Electronics Standards Association (VESA) Bureau Domain bus, serial universal serial bus (Universal Serial Bus, USB), fast peripheral component interconnection (PCI Express, PCI-E/PCIe) bus, etc.

The processing module of the computing device mentioned in this creation is coupled with the bus. The processing module includes a register group or register space. The register group or register space can be completely set on the processing chip of the processing module, or all or part of it can be set outside the processing chip It is coupled to the processing chip via a dedicated electrical connection and/or via a bus. The processing module can be a central processing unit, a microprocessor or any suitable processing element. If the computing device is a multi-processor device, that is, the computing device includes multiple processing modules, the processing modules included in the computing device are all the same or similar, and they are coupled and communicated through a bus. The processing module can interpret a computer instruction or a series of multiple computer instructions to perform specific operations or operations, such as mathematical operations, logical operations, data comparison, copy/move data, etc., to drive other hardware in the computing device Components or run operating systems or execute various programs and/or modules.

Computing equipment usually also contains one or more chipsets (Chipset). The processing module of the computing device can be coupled to the chipset or electrically connected to the chipset through a bus. The chipset is composed of one or more integrated circuits (Integrated Circuit, IC), including memory controller and peripheral input/output (I/O) controller, that is, memory controller and peripheral input/output control The device can be included in one integrated circuit, or it can be implemented using two or more integrated circuits. Chipsets usually provide I/O and memory management functions, as well as multiple general and/or dedicated registers, timers, etc., among which the above-mentioned general and/or dedicated registers and timers can be coupled or One or more processing modules electrically connected to the chipset are accessed or used.

The processing module of the computing device can also access the data in the memory module and mass storage area installed on the computing device through the memory controller. The above-mentioned memory modules include any type of volatile memory (volatile memory) and/or non-volatile memory (NVRAM), such as static random access memory (SRAM) , Dynamic Random Access Memory (DRAM), Read-Only Memory (ROM), Flash memory, etc. The above-mentioned mass storage area can include any type of storage device or storage medium, such as hard disk drives, optical discs, flash drives, memory cards, and solid state disks. , SSD), or any other storage device, etc. In other words, the memory controller can access data in static random access memory, dynamic random access memory, flash memory, hard disk drives, and solid state drives.

The processing module of the computing device can also connect and communicate with peripheral output devices, peripheral input devices, communication interfaces, and GPS receivers and other peripheral devices or interfaces through the peripheral I/O controller through the peripheral I/O bus. The peripheral input device can be any type of input device, such as a keyboard, mouse, trackball, touchpad, joystick, etc., the peripheral output device can be any type of output device, such as a display, a printer, etc., a peripheral input device It can also be the same device as the peripheral output device, such as a touch screen. The communication interface can include a wireless communication interface and/or a wired communication interface. The wireless communication interface can include support for wireless local area networks (such as Wi-Fi, Zigbee, etc.), Bluetooth, infrared, and near-field communication (NFC), 3G/4G/5G and other mobile communication network (cellular network) or other wireless data transmission protocol interface, wired communication interface can be Ethernet device, DSL modem, cable modem, asynchronous transmission Mode (Asynchronous Transfer Mode, ATM) devices, or optical fiber communication interfaces and/or components, etc. The processing module can periodically poll various peripheral devices and interfaces, so that the computing device can input and output data through various peripheral devices and interfaces, and can also communicate with another computing device with the hardware components described above. To communicate.

In this creation, the processing module 101 can load and execute one or a group of computer instructions stored in a memory module (not shown) through the bus, and can generate an image acquisition module 120 after executing the computer instructions. The image comparison module 150 can also produce a living body identification module 160 and a signature module 180.

The image capturing module 110 may include elements such as a lens and a photosensitive element (none of which is shown in the figure). Among them, the lens can let light pass and let the passing light illuminate the photosensitive element, and the photosensitive element can convert the light irradiated on the photosensitive element into an image signal.

The image capturing module 110 is responsible for capturing live images and indicating images. The living body image captured by the image capturing module 110 includes a complete front face, and the instruction image captured by the image capturing module 110 includes a human face rotated at a certain angle. Wherein, the image capturing module 110 can continue to use the image signal output by the photosensitive element as a living image when it is driven by the image comparison module 150 or when it receives the collaborative message sent by the image comparison module 150; When being driven by the living body recognition module 160 or receiving the coordination message sent by the living body recognition module 160, the image signal output by the photosensitive element is continuously used as the instruction image.

The image capturing module 110 can also capture data images. The image capturing module 110 can continue to use the image signal output by the photosensitive element as a data image when it is driven by the image obtaining module 120 or receiving a cooperative message from the image obtaining module 120.

The image capturing module 110 can record the process video of the living body recognition performed by the living body recognition module 160 when the living body recognition module 160 performs the living body recognition, and can store the recorded process video. In more detail, the image capturing module 110 can continuously save the captured instruction image as a video file in a predetermined format during the process of performing the vital recognition by the vital recognition module 160, so as to record the vital recognition module 160. Video of the process of living body identification.

In some embodiments, the image capturing module 110 can also record the captured live image and the process of comparing the target image with the live image by the image comparison module 150 as a process image, that is, the process The video may include a process in which the image comparison module 150 performs image comparison to capture a living body image through the image capturing module 110 and a process in which the living body recognition module 160 performs a living body recognition. Wherein, the target image can be a photo of the document holder printed on the target certificate, or can be a photo stored in the target chip set in the target certificate.

The image obtaining module 120 is responsible for obtaining the target image from the target certificate. For example, the image acquisition module 120 can capture the target image printed on the target certificate through the image capture module 110, and can also read the target chip stored in the target chip set in the target certificate through the chip reading module 130 Target image. Among them, the target document is usually an identity document printed with a photo of the document holder and capable of identifying the identity of the document holder, such as an identity card, a passport, etc.

The image acquisition module 120 can set the target certificate or the range of the target image in the data image captured by the image acquisition module 110 through the display module 140 and the input module 170. For example, the image acquisition module 120 can display The module 140 displays a rectangular indicator frame on the display screen, and can provide the user to rotate the indicator frame and move the four sides of the indicator frame through the input module 170, so that the indicator frame can frame the target certificate or target image in the data image. In this way, the image acquisition module 120 can use the area enclosed by the indicator frame as the range of the target certificate or target image in the data image; the image acquisition module 120 can also prompt the target certificate or target image through the display module 140 Placement area. For example, the image acquisition module 120 may generate an indication frame indicating the placement area, and display the generated indication frame through the display module 140 and prompt the user to adjust the position of the device 100 or the target certificate so that the target certificate or target The image is displayed in the indicator frame by the display module 140, so that the target certificate or target image is at a designated position in the data image captured by the image capturing module 110.

The image obtaining module 120 can also set or detect the target certificate in the data image captured by the image capturing module 110 to obtain the certificate type of the target certificate. For example, the image acquisition module 120 can provide the user to set the certificate type of the target certificate through the input module 170; the image acquisition module 120 can also perform image processing on the range of the target certificate in the data image to obtain the image of the target certificate Features, and can determine the document type of the target document based on the image characteristics of the acquired target document. Among them, the document type can indicate that the target document is an identity card or a passport.

The image acquisition module 120 can also determine the acquisition range of the target image in the data image according to the type of the acquired certificate. The image acquisition module 120 can pre-store the location information of the target image printed on various types of certificates, and can determine the capturing range based on the location information. The location information can indicate the position of the target image in the data image, for example, the coordinates of the upper left and lower right corners of the target image in the data image, or the coordinates and target of any of the four corners of the target image in the data image The length and width of the image are not limited to this creation.

The chip reading module 130 can connect to the target chip (not shown in the figure) when receiving the coordination message generated by the image acquisition module 120, and can read the target image from the connected target chip. Generally speaking, the target chip is set on the target certificate.

The chip reader module 130 can connect to the target chip through Near-Field Communication (NFC) to communicate with the target chip, but this creation is not limited to this. For example, the chip reader module 130 can also Connect with the target chip through the connecting wire.

The chip reading module 130 can also read the target image stored in the target chip. Generally speaking, the image acquisition module 120 can transmit the reading command of the target image to the target chip, and the target chip can read the target image according to the received reading command, and can send the read target image back to the chip. Reading module 130.

The display module 140 can display the data image, the living body image, and the instruction image captured by the image capturing module 110 on the display screen of the device 100. The display module 140 can also display prompt messages such as the instruction frame generated by the image acquisition module 120 and the text generated by the image comparison module 150 on the display screen of the device 100.

The image comparison module 150 is responsible for comparing the target image obtained by the image obtaining module 120 with the live image captured by the image capturing module 110, and generates the face in the target image and the face in the live image Similarity. In more detail, the image comparison module 150 can use the conventional face detection technology to determine whether the live image captured by the image capture module 110 includes a complete front face, and can include a complete face in the live image When the face is front, analyze the face in the live image and the target image to generate the features of the target image and the face in the live image, and compare the features of the target image and the face in the live image to determine the target image The similarity between the human face in the live image and the human face, but the way the image comparison module 150 generates the similarity between the target image and the live image is not limited to the above.

The living body identification module 160 can perform living body identification when the image comparison module 150 determines that the similarity generated is higher than a certain value. The living body recognition process performed by the living body recognition module 160 is for example: first randomly selecting a designated direction, and obtaining a predetermined or randomly generated designated angle, and then continuing to identify the person in the indicated image captured by the image capturing module 110 The face is analyzed to obtain the characteristics of the human face in the indicator image, and the indicator image is determined based on the characteristics of the human face in the living image obtained by the image comparison module 150 and the characteristics of the human face in the obtained indicator image Whether the rotation direction and the rotation angle of the human face are consistent with the specified direction and the specified angle, so as to perform living body recognition. However, the method of living body identification mentioned in this creation is not limited to the above.

The living body recognition module 160 can also generate a corresponding recognition result after performing the living body recognition. The living body recognition module 160 can determine whether the face in the indicated image is the same or similar when the selected designated direction is the same as the determined rotation direction and the determined designated angle matches the determined rotation angle (the angle is the same or similar) The face of a living body can generate a recognition result indicating that it is passed; and if the designated direction is different from the rotation direction or the specified angle does not match the rotation angle, the living body recognition module 160 can generate a recognition result that indicates that it is not passed.

The input module 170 can set the range of the target certificate or target image in the data image captured by the image capturing module 110. In more detail, the input module 170 can provide the user to rotate the indicator frame displayed by the display module 140 and/or move the four sides of the indicator frame displayed by the display module 140 on the display screen, so that the user can display the screen Set the scope of the target certificate or target image in the data image on the upper part; the input module 170 can also set the certificate type of the target certificate, for example, provide a drop-down menu or check box to provide the user with setting the certificate type.

The input module 170 can also input application data. The input module 170 can provide an input interface for the user to input application information. Generally speaking, the application data input by the input module 170 can include the user’s name, gender, birthday, identification data, communication data, etc., and can also include related data required for the service applied for, but this creation does not Limit this. Among them, the identification data can be data that can indicate the user's identity, such as the ID number or passport number, but this creation is not limited to this; the communication data includes, but is not limited to, address, mobile phone number, email address, instant messaging account The relevant information corresponds to the service being applied for. For example, when the service being applied for is insurance, the relevant information is related to the insurance policy; for example, when the service being applied for is the account opening, the relevant information is the relevant information for opening an account.

The signing module 180 can sign the application data input by the input module 170, and can generate the signing data after signing. In some embodiments, the signature module 180 may only sign the application data to generate the signature data when it is determined that the identification result generated by the living body identification module 160 indicates that the verification is passed.

The communication module 190 can be connected to the server 400 via a wired network or a wireless network, and can send data or signals to the server 400, and can also receive data or signals sent by the server 400. Among them, wired networks such as Ethernet, but this creation is not limited to this; wireless networks include but are not limited to 3G/4G/5G and other mobile communication networks (cellular networks), WiFi/Zigbee and other wireless areas network.

The communication module 190 can send the application data input by the input module 170 to the server 400 after determining that the identification result generated by the living body identification module 160 indicates that the verification is passed, so as to provide the user with online account opening or online insurance purchase based on the application data Wait for online service application.

The communication module 190 can also transmit the application data input by the input module 170 to the server 400 and at the same time transmit the signature data generated by the signature module 180, so that the server 400 verifies the application data according to the signature data. , And after the application information is verified, the online service application will be performed according to the application information entered by the user.

The communication module 190 can also send the data image including the target image acquired by the image acquisition module 120 and/or the living body image acquired by the image acquisition module 110 to the server 400, so that the server 400 can store Application materials and data images and/or live images.

Next, an example is used to explain the operation of the authoring system, and please refer to the flow chart of identifying identity based on document images and live images mentioned in "Figure 2A" of this authoring. In this embodiment, it is assumed that the device 100 is a smartphone carried by the applicant for opening an account, but this creation is not limited to this. For example, the device 100 may also be a tablet computer.

When the applicant wants to open an account in a bank or a securities company, the applicant can operate the mobile phone (device 100) at home or anywhere to execute the application containing this creation, and can use the input module 170 to display the application information in the application Enter the application information in the input interface to complete the account application through this creation without the need to go to the bank or securities company in person.

After the input module 170 provides the applicant with the application information for opening an account, the image acquisition module 120 can acquire the target image from the target certificate prepared by the applicant (step 210). In this embodiment, assuming that the target document is an identity card, the image acquisition module 120 can capture the target image containing the identity card held by the applicant through the image acquisition module 110, as shown in the process in "Figure 2B" As shown, the image acquisition module 120 can provide the user to set the range of the target certificate or target image on the display screen through the input module 170, and can also prompt the user to place the target certificate or target image on the display screen through the display module 140. (Step 211), so that the image capturing module 110 can capture the data image containing the target certificate. After that, the image acquisition module 120 can provide the user to set the document type of the target certificate through the input module 170, or perform image processing on the target certificate in the data image to generate the image characteristics of the target certificate and detect the target certificate based on the image characteristics. The type of the certificate, and the acquisition range of the target image can be determined according to the type of the obtained certificate (step 213). Then, the image acquisition module 120 can extract the target image from the data image according to the acquisition range (step 215).

Returning to the process of "Figure 2A", after the image acquisition module 120 acquires the target data (step 210), the image acquisition module 110 can acquire the live image (step 220), and the image comparison module 150 can compare The image obtaining module 120 obtains the target image from the target certificate and the live image captured by the image capturing module 110, and generates the similarity between the target image and the live image (step 230). In this embodiment, it is assumed that the image comparison module 150 can generate a prompt message to the display module 140. The display module 140 can prompt the applicant in the prompt area 312 of the display screen 310 as shown in "Figure 3". The lens of the mobile phone (device 100) is aimed at the front of the face and the position of the mobile phone is adjusted, so that the applicant can place the front of the face on the indication area 311 of the display screen 310 and the ratio of the face in the display screen 310 to the indication area 311 When the size is similar, press the shutter to trigger the image capturing module 110 to capture the live image including the front of the applicant’s face. After that, the image comparison module 150 can perform image analysis on the target image and the live image to obtain the target image and the live body The facial features in the image can be used to determine the similarity between the target image and the live image based on the facial features extracted from the target image and the live image; for another example, the image comparison module 150 can continuously determine the image capture module Whether the live image captured by 110 includes a frontal face, when the live image includes a frontal face, the image comparison module 150 can determine whether the ratio of the face in the live image to the indication area 311 is similar. The ratio of the face in the image to the indicator area 311 is close enough. For example, if the difference in height or width between the face and the indicator area 311 is within 10%, the image comparison module 150 can compare the face in the target image and the live image. The feature analysis is performed to obtain the facial features in the target image and the live image, and the similarity between the target image and the live image can be judged based on the facial features extracted from the target image and the live image.

After the image comparison module 150 generates the similarity between the target image read by the image acquisition module 120 and the live image captured by the image capture module 110, the image comparison module 150 can base on the generated similarity A corresponding recognition result is generated (step 260). In this embodiment, it is assumed that the image comparison module 150 can determine whether the generated similarity is higher than or equal to a certain value. If the image comparison module 150 determines that the similarity is lower than a certain value, the image comparison module 150 An identification result indicating that the verification has not passed may be generated; and if the image comparison module 150 determines that the similarity is higher than or equal to a certain value, the image comparison module 150 may generate an identification result indicating that the verification has passed.

In this way, through this creation, it is possible to confirm that the identity document matches its holder by comparing the photos set on the identity document with the photos taken immediately, and then confirm the identity of the identity document holder.

In the above embodiment, if the living body recognition module 160 is further included, when the image comparison module 150 generates a corresponding recognition result according to the generated similarity (step 260), it can also be as in the process of "Figure 2C" As shown, the image comparison module 150 can determine whether the generated similarity is higher than or equal to a certain value (step 261). If the image comparison module 150 determines that the similarity is lower than a certain value, the image comparison module 150 can accumulate the number of comparisons and generate a prompt message, and the display module 140 can display the prompt message generated by the image comparison module 150. Prompt the applicant to fail the comparison and prompt the applicant to point the camera of the mobile phone (device 100) to the front of the applicant's face again, so that the image capturing module 110 can capture the live image again (step 220), and the image is compared The module 150 can compare the target image acquired by the image acquisition module 120 with the live image captured by the image capturing module 110 again, and generate the similarity between the target image and the live image (step 230), until the accumulated comparison The number of pairs reaches the predetermined value.

If the image comparison module 150 determines that the similarity is higher than or equal to a certain value, the living body identification module 160 can perform living body identification and generate a corresponding identification result (step 260), so as to prevent the applicant from disguising as a non-person photo Others, that is, to prevent the applicant from using the photo of the holder of the target certificate to pretend to be the holder of the target certificate for service applications. In this embodiment, it is assumed that the living body recognition module 160 can first randomly select a specified direction (for example, left or right) and determine a rotation angle (for example, 30 degrees), and generate a prompt message, so that the display module 140 can be displayed such as " The prompt area 312 of the display screen 310 shown in Figure 3" prompts the applicant to point the mobile phone (device 100) at the human face so that the face is placed in the indication area 311 of the display screen 310 and then rotate the head in the specified direction. After turning the head, the applicant can press the shutter to trigger the image capturing module 110 to capture the indication image containing the applicant’s side face. After that, the living body recognition module 160 can perform facial feature analysis on the indication image to determine Indicates the rotation direction and rotation angle of the face in the image. When the rotation direction is the same as the specified direction, and the rotation angle is the same as the preset angle or the difference between the preset angle is within the preset range (that is, the rotation angle is close to the preset angle ), the living body recognition module 160 can confirm that the object in the indicated image is a living body, and can generate a recognition result indicating that it has passed; the living body recognition module 160 can also continue to perform human identification on the indicated image captured by the image capturing module 110 Face feature analysis, by which it is determined that when the rotation direction of the face in the indicated image is the same as the indicated direction, and the difference between the rotation angle and the preset angle is within a predetermined range, it is confirmed that the object shot in the indicated image is a living body, and Produce a recognition result indicating a pass.

In the above embodiment, while the living body identification module 160 performs the living body identification and generates the identification result (step 260), the image capturing module 110 can record the process video of the living body identification module 160 performing the living body identification, and can store the recorded Video of the process.

In addition, if the device 100 further includes the input module 170 and the communication module 190, after the living body identification module 160 performs living body identification and generates an identification result (step 265), if the identification result generated by the living body identification module 160 indicates that there is no After verification, the living body identification module 160 can accumulate the number of identification times and perform the living body identification again and generate an identification result (step 265) until the number of identification times reaches the preset value; and if the identification result generated by the living body identification module 160 indicates a pass After verification, the communication module 190 can send the application data input by the input module 170 to the server 400 to complete the application operation (step 289). In this embodiment, the application for opening an account is completed.

If the device 100 further includes the signature module 180, after the living body identification module 160 performs the living body identification and generates the identification result (step 265), the signature module 180 can select according to the identification result generated by the living body identification module 160 Whether to sign the application materials to generate the signature materials. That is, the signature module 180 can determine whether the identification result generated by the living body identification module 160 indicates that the verification is passed (step 281). If the identification result generated by the living body identification module 160 indicates that the verification is not passed, then the signature module The group 180 can generate signature data without signing the application data. The living body identification module 160 can accumulate the number of identification times and perform the living body identification again and generate an identification result (step 265) until the number of identifications reaches the preset value; The identification result generated by the identification module 160 indicates that the verification is passed, the signing module 180 can sign the application data and generate the signature data (step 285), and the communication module 190 can input the application data input by the input module 170 And the signature data generated by the signature module 180 is sent to the server 400 to complete the application operation (step 289).

In summary, it can be seen that the difference between this creation and the prior art is that it has the technical means to obtain the target image from the target certificate and capture the live image, and then compare the similarity between the target image and the live image. Technical means can solve the problem that the previous technology cannot perform sufficiently rigorous identity verification, which makes it impossible for account holders to complete online account opening or insurance holders to complete online insurance, thereby achieving the technical effect of real-time opening of general accounts through the Internet .

Furthermore, the device for identifying identity based on document images and live images in this creation can be implemented by hardware, software, or a combination of hardware and software.

Although the implementation of this creation is disclosed as above, the content described is not used to directly limit the scope of patent protection of this creation. Any person with ordinary knowledge in the technical field to which this creation belongs, without departing from the spirit and scope of this creation, makes some changes in the form and details of the implementation of this creation, all belong to the patent protection of this creation range. The scope of patent protection for this creation shall still be subject to the scope of the attached patent application.

100: device 101: Processing Module 110: Image capture module 120: Image acquisition module 130: Chip reading module 140: display module 150: Image comparison module 160: Living body recognition module 170: input module 180: Signature Module 190: Communication module 310: Display screen 311: indication area 312: prompt area 400: server Step 210: Obtain the target data from the target certificate Step 211: Set the range of the target certificate or target image or prompt the placement area of the target certificate or target image Step 213: Set or detect the document type of the target document, and determine the capture range of the target image according to the document type Step 215: Capture the target image printed on the target certificate Step 220: capture live images Step 230: Compare the target image and the live image and generate similarity Step 260: Generate the recognition result corresponding to the similarity Step 261: Determine whether the similarity is higher than a certain value Step 265: Perform living body identification and generate corresponding identification results Step 281: Determine whether the identification result indicates that the verification is passed Step 285: Sign and enter application data to generate signature data Step 289: Send the application data and signature data to the server to complete the application

Figure 1 is a schematic diagram of the components of the device for identifying identity based on ID images and live images. Figure 2A is the flow chart of identification based on ID image and live image mentioned in the creation. Figure 2B is the flow chart of obtaining the ID image from the target ID mentioned in the creation. Figure 2C is an additional flow chart of identification based on ID images and live images mentioned in the creation. Figure 3 is a schematic diagram of the user interface for capturing facial images according to the creative embodiment.

100: device

101: Processing Module

110: Image capture module

120: Image acquisition module

130: Chip reading module

140: display module

150: Image comparison module

160: Living body recognition module

170: input module

180: Signature Module

190: Communication module

400: server

Claims (10)

A device for identifying identity based on a document image and a live image. The device at least includes: an image capturing module for capturing a live image; and a processing module electrically connected to the image capturing module. To execute a computer instruction, and at least generate the following modules after executing the computer instruction: an image acquisition module for acquiring a target image from a target certificate; and an image comparison module for comparing the target The image and the living body image also generate a similarity, and generate a recognition result corresponding to the similarity. The device for identifying identities based on a document image and a living body image as described in claim 1, wherein the processing module is further used to generate a living body identification module, and the living body identification module is used to perform when the similarity is higher than a certain value The living body recognizes and produces the corresponding recognition result. The device for identifying identities based on a document image and a live body image according to claim 2, wherein the live body recognition module determines a rotation direction and a face feature in an indicator image captured by the image capturing module The rotation angle is determined, and whether the rotation direction and the rotation angle are consistent with a pre-defined designated direction and a designated angle to perform living body identification. The device for identifying an identity based on a document image and a living body image as described in claim 1, wherein the image acquisition module captures the target image printed on the target document through the image acquisition module or reads it through a chip The module reads the target image stored in the target chip set in the target certificate. The device for identifying identity based on document images and live images as described in claim 1, wherein the image acquisition module is further used to set or detect a document type of the target document, and determine the target image capture based on the document type Take the range. The device for identifying an identity based on a document image and a living body image as described in claim 1, wherein the image acquisition module is further used to set the range of the target document or the target image or prompt the placement area of the target document or the target image . The device for identifying identity based on the image of the certificate and the live body image as described in claim 1, wherein the device further includes an input module and a communication module, the input module is used for inputting an application data, and the communication module is used for When it is judged that the identification result indicates that the verification is passed, the application data is sent to a server. The device for identifying identity based on document images and living body images as described in claim 7, wherein the processing module is further used to generate a signature module, and the signature module is used to sign the application data to generate a signature Chapter data, the communication module is further used to send the signature data to the server. According to the device for identifying identity based on a certificate image and a living body image as described in claim 1, wherein the image capturing module is further used for recording a process video and storing the process video when the living body identification module performs living body identification. The device for identifying an identity based on a document image and a living body image as described in claim 1, wherein the device further includes a display module for displaying the living body image, the target image, and/or the identification result.

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