TWM610179U - Device for identifying identity based on chip pre-stored image and real-time in vivo image - Google Patents

Abstract

A device for identifying identity based on chip pre-stored images and real-time live images. It reads the target image stored by the target chip set on the certificate and captures the live image in real time to compare the similarity between the target image and the live image The method can reduce the cost of insurance companies, banks and other financial institutions and related personnel, and achieve the technical effect of completing insurance or account opening applications through the Internet in real time.

Description

Device for identifying identity based on chip pre-stored image and real-time live image

A body identification device, in particular, a device that recognizes identities based on chip pre-stored images and real-time live images.

With the advancement of the Internet and related technologies, many services that previously required applicants to handle in person can also be completed through the Internet. However, some services, such as insurance, are still restricted by relevant domestic laws and regulations. They need to sign and meet in person, and cannot apply through the Internet. For example, when opening an online bank account, if the certificate is uploaded via a mobile phone, the current regulations require that a video conference be supplemented to confirm whether the applicant for opening the account is the holder of the certificate.

Although the personal meeting and signing system has a good intention, with the rise of online insurance, the requirement that applicants and salespersons must face-to-face to complete the insurance application has immediately attracted criticism and doubts. For example, when a salesperson meets with an applicant, he can only confirm the identity of the applicant based on the documents provided by the applicant.

However, the photo on the certificate may be a photo several years ago or even more than ten years ago, which may be quite different from the applicant. The salesperson may not be able to effectively determine whether the applicant and the certificate holder are the same person, that is, the salesperson. Unable to confirm whether the requirements for meeting the applicant in person are met, resulting in the salesman being unable to be sure whether the insurance policy is valid.

In addition, in order to confirm that the salesperson actually meets the applicant in person, the insurance company also needs to call to note the applicant after the applicant signs on the insurance policy. However, during the phone call, it may happen that the applicant cannot be contacted or the applicant denies the insurance, resulting in an increase in the cost of the insurance company. The same situation also occurs when the online bank account opening process is supplemented by video confirmation. In addition to the fact that the applicant may not be able to complete the account opening for the applicant due to the inability to cooperate with the time, the bank also needs to spend extra manpower, making the actual adoption rate low.

In summary, it can be seen that in the prior art, the pro-meeting system has for a long time increased the money and time costs of insurance companies and salespersons; and the video-assisted regulations have increased the time and costs between the bank and the applicant, so it is necessary Propose improved technical means to solve this problem.

In view of the fact that the previous technology has the in-person meeting system or video assistance to increase the cost of financial institutions (such as insurance companies or banks) and related personnel (including salespersons, bank employees and applicants), this creation reveals a pre-stored image based on a chip Device for identifying identity with real-time live images, including:

The device for identifying identity based on chip pre-stored images and real-time live images disclosed in this creation at least includes: chip reading module for connecting to the target chip and reading the target image stored on the target chip; image capturing module, Used to capture the live body image; the image comparison module is used to compare the target image and the live body image and generate similarity, and generate the recognition result corresponding to the similarity.

The device disclosed in this creation is as above. The difference between this creation and the prior art is that this creation reads the target image stored by the target chip set on the certificate, and captures the live image in real time to compare the similarity between the target image and the live image Degree, in order to solve the problems of the previous technology, and can achieve the technical effect of meeting with the relevant personnel of the financial institution to complete the insurance or account opening application through the Internet in real time.

The following will describe the features and implementation methods of this creation in detail with the drawings and embodiments. The content is sufficient to enable any person 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 photos stored in the target chip set on the identity certificate with the photos taken in real time.

The following first uses the "Picture 1" in the creation of the system architecture diagram of the identification of pre-stored images and real-time live images mentioned in this creation to illustrate the operation of this creation. As shown in "Figure 1", the system of this creation is applied to the device 100, which includes a processing module 101, an image capture module 110, a chip reading module 130, and may also include an additional display module 140, Input module 170, communication module 190. Wherein, the apparatus 100 may be a computing device.

The computing devices mentioned in this creation include but are 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 each of the above-mentioned hardware components is arranged in the housing.

The bus of the computing device mentioned in this creation can include one or more types, such as 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 Industry Standard Architecture (ISA) bus, Peripheral Component Interconnect (PCI) bus, 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. 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-purpose and/or special-purpose registers, timers, etc., among which the aforementioned general-purpose and/or special-purpose 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 the large-capacity 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 aforementioned 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 via 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, 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 interact 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 the memory module (not shown in the figure) through the bus, and can generate an image comparison module after executing the computer instructions 150. A key generation module 120, a living body identification module 160, and a signature module 180 can also be generated.

The image capturing module 110 may include elements such as a lens, a photosensitive element, etc. (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 continuously 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 continuously use the image signal output by the photosensitive element as a data image when it is driven by the key generation module 120 or receives a cooperative message from the key generation module 120.

The image capturing module 110 can also record a 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 in a predetermined format as a video file during the process of the living body recognition module 160 performing the living body recognition, so as to record the living body recognition module 160. Video of the process of living body identification.

In some embodiments, the image capturing module 110 may 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 may be a photo stored in the target chip set in the target certificate.

The key generation module 120 can obtain target data corresponding to the target chip (not shown in the figure). Generally speaking, the target data obtained by the key generation module 120 corresponds to the target chip connected to the chip reading module 130; in addition, the target chip is usually set on a certificate capable of identification, such as a digital ID card. Or a passport that complies with the standards and specifications of the International Civil Aviation Organization (ICAO).

The key generating module 120 can also obtain target data from the data image captured by the image capturing module 110. In more detail, the key generation module 120 can continuously determine whether the data image continuously captured by the image capture module 110 contains a complete character string or an image sufficient to identify the bar code of the indicated content. When the key generation module 120 determines When the data image contains an image with a complete character string, the area containing the character string in the data image can be text-recognized to obtain the character string from the data image, and the obtained character string can be used as the target data; and when the key is When the generation module 120 determines that the data image contains a bar code image sufficient to identify the complete content, the key generation module 120 can decode the bar code in the data image into target data, or can generate the target data based on the information decoded from the bar code. For example, when the message is a website address, the key generation module 120 can use the data downloaded from the website address as the target data. However, the way in which the key generation module 120 obtains the target data from the data image is not limited to the above.

The key generation module 120 can also generate a key based on the acquired target data. The chip reading module 130 can extract the characters at a specific position in the target data, and arrange the extracted characters in a predetermined order to generate a key, but this creation is not limited to this. For example, the key generation module 120 It is also possible to directly use the target data as the key, or perform a predetermined operation on the extracted character string to generate the key. Among them, the aforementioned predetermined operation includes but is not limited to hash or MD5.

The chip reading module 130 is responsible for connecting the target chip. 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 be used. Connect with the target chip through the connection cable.

The chip reading module 130 is also responsible for accessing the connected target chip, so as to read the target image stored in the target chip. In more detail, the chip reading module 130 can send a reading command for transmitting the target image to the target chip, so that the target chip reads the target image according to the received reading command and transmits the target image back to the chip reading module 130 ; If the target chip requires a key to access, the chip reading module 130 can send the read command containing the target image and the key generated by the key generation module 120 to the target chip, and the target chip receives the gold After the key, the received key can be verified, and after the key is verified, the target image can be read according to the received read command, and the read target image can be sent 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 the prompt messages generated by the key generation module 120 and 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 read by the chip reading module 130 and the live image captured by the image capturing module 110, and generates the face in the target image and the person in the live image The similarity of the face. 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, the live image and the face in the target image read by the chip reading module 130 are analyzed to generate the target image and the features of the face in the live image, and the target image and the live image can be compared The features of the face in the image are used to determine the similarity of the face in the target image and the live image, 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 identification process performed by the living body identification 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 features of the human face in the indicator image, and the indicator image is determined based on the features of the human face in the living image obtained by the image comparison module 150 and the feature 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 activity identification module 160 can also generate a corresponding identification result after performing the identification of the living body. The living body recognition module 160 can determine that 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 is consistent with the determined rotation angle (the angle is the same or similar) The face of a living body can generate a recognition result indicating a pass; and if the designated direction is different from the rotation direction or the designated angle does not match the rotation angle, the living body recognition module 160 can generate a recognition result indicating a fail.

The input module 170 can 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 the relevant data required for the requested service, but this creation does not Limit this. Among them, the identification data can be data that can indicate the user's identity, such as ID number or passport number, but this creation is not limited to this; 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 input application data to the server 400 after judging that the identification result generated by the living body identification module 160 is passed and the input module 170 completes the input of the application data, so as to provide the user with the application data. Application for online services such as online account opening or online insurance.

The communication module 190 can also transmit the application data input by the input module 170 to the server 400 at the same time, and at the same time transmit the signature data generated by the signature module 180, so that the server 400 can successfully verify the use of the signature data. After applying the information, apply for online services such as online account opening or online insurance based on the application information entered by the user.

The communication module 190 can also send the target image read by the chip reading module 130 and the live image captured by the image capture module 110 (and the recognition result generated by the live recognition module 160) to The server 400 enables the server 400 to store application data, target images, and live images.

Next, an embodiment is used to explain the system operation and method of this creation, and please refer to "Figure 2A" for the flow chart of the identification of pre-stored images and real-time live images mentioned in this creation. In this embodiment, it is assumed that the device 100 is a smart phone used by the insurance applicant, but this creation is not limited to this. For example, the device 100 may also be a tablet computer or the like.

After the insurance clerk sells insurance products to the insured, if the insured wants to insure, the insured can operate the mobile phone (device 100) to execute the mobile application containing this creation.

After the creation is executed by the device 100, the chip reading module 130 can be connected to the target chip set on the identity certificate (step 210), and can read the target image stored in the target chip (step 220). In this embodiment, it is assumed that the chip reading module 130 can transmit the reading command of the target image to the target chip through the near field communication technology, so that the target chip can read the target image according to the received reading command and use the near field communication technology to read the target image. The communication technology transmits the read target image back to the chip reading module 130. Among them, the target image is a photo stored in the target chip of the applicant's passport, usually an electronic file of the front photo printed on the applicant's passport.

In this embodiment, if the identity document is a chip passport held by the applicant and conforms to the standards of the International Civil Aviation Organization, since the target chip in the chip passport requires a key to be able to access, the chip reading module 130. Before the target image is read from the target chip (step 220), as shown in the flow of "Figure 2B", the key generation module 120 can obtain the target data corresponding to the target chip (step 221). For example, the key generation module 120 can generate a prompt message to the display module 140 to display, so as to prompt the applicant to turn the chip passport to the personal data page and aim the lens of the mobile phone (device 100) at the personal data page. After that, the policyholder can press the shutter to trigger the image capture module 110 to capture a data image containing all the characters in the machine readable area on the personal data page, and the key generation module 120 can perform processing on the data image. Character recognition, to obtain a predetermined number of characters contained in the data image, and arrange all the obtained characters as the target data in a predetermined order (such as from top to bottom and then from left to right, etc.); or The key generation module 120 continues to perform text recognition on the data image captured by the image capture module 110 to obtain all characters in the machine readable area, and when judging that the number of characters obtained meets a predetermined value, it will perform text recognition in a predetermined order. The obtained character arrangement is the target data.

After the key generation module 120 obtains the target data (step 221), the key generation module 120 can generate a key for the chip reader module 130 to access the target chip according to the obtained target data (step 223). For example, the key generation module 120 can arrange multiple characters at specific positions in the target data in a specific order to generate a key.

After the key generation module 120 generates the key to access the target chip, the chip reading module 130 can use the key generated by the key generation module 120 to read the target image stored in the target chip (step 225) . For example, the chip reader module 130 can transmit the key to the target chip through the near field communication technology, so that the target chip can verify the key transmitted by the chip reader module 130 and generate a corresponding verification result after verification. The reading module 130 can receive the verification result generated by the target chip through the near field communication technology, and can transmit the reading instruction of the target image to the target chip through the near field communication technology when the verification result indicates that the key is correct, so that the target chip The target image can be read according to the received reading command and the read target image can be transmitted back to the chip reading module 130 by the near field communication technology.

Returning to "Figure 2A", after the chip reading module 130 reads the target image from the target chip, the image capture module 110 can capture the live image (step 230), and the image comparison module 150 can compare the chip The target image read by the reading module 130 and the living body image captured by the image capturing module 110 are read, and the similarity between the target image and the living body image is generated (step 250). 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 insured person 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 insured’s face and the position of the mobile phone is adjusted so that the insured can place the front of the face in the indication area 311 of the display screen 310 and the ratio and indication of the face in the display When the size of the area 311 is similar, press the shutter to trigger the image capturing module 110 to capture the live image including the front face of the insured person. After that, the image comparison module 150 can perform image analysis on the target image and the live image to obtain the target The facial features in the image and the live 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 Check whether the live image captured by the module 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 If the ratio of the face in the live image to the indicator area 311 is close enough, for example, 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 target image and the indicator area 311 The human face is subjected to feature analysis to obtain the facial features in the target image and the live image, and the similarity of 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 chip reading module 130 and the living body image captured by the image capture module 110, the image comparison module 150 can be based on the generated similarity The 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 can 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 can generate an identification result indicating that the verification has passed.

In this way, through this creation, it is possible to verify that the identity document matches the holder by comparing the photos stored on the target chip set on the identity document with the photos taken in real time, and then confirm the identity of the holder of the identity document.

In the above embodiment, if the device 100 generates the living body recognition module 160 after executing the mobile application, when the image comparison module 150 generates the corresponding recognition result according to the generated similarity (step 260), it can also be: As shown in the process of "Figure 2C", 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 that the comparison has failed and remind the applicant to point the lens 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 230), and the image is compared The module 150 can compare the target image read by the chip reading module 130 and the living body image captured by the image capturing module 110 again, and generate the similarity between the target image and the living body image (step 250), until the accumulation The number of comparisons reaches the predetermined value.

And if the image comparison module 150 determines that the similarity is higher than a certain value, the living body recognition module 160 can perform living body recognition and generate a corresponding recognition result (step 265), so as to prevent the applicant from pretending to be someone other than his own photo. 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 the specified direction (for example, left or right) and determine the 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 face of the person so that the face is placed in the indication area 311 of the display screen 310 and then turn his head in a specified direction. After turning the head, the insured person can press the shutter to trigger the image capturing module 110 to capture the indicative image containing the insured person’s profile. After that, the living body recognition module 160 can perform facial feature analysis on the indicative 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 265), the image capturing module 11 can record the process video of the living body identification module 160 performing the living body identification, and can store the recorded video. Video of the process.

In addition, if the computer device 100 further includes the input module 170 and the communication module 190, after the living body identification module 160 performs the living body identification and generates the identification result (step 265), if the identification result generated by the living body identification module 160 indicates If the verification is not passed, the living body identification module 160 can accumulate the number of identification times, perform the living body identification again, and generate the identification result again (step 265), until the identification number reaches the preset value; and if the identification result generated by the living body identification module 160 If the verification is passed, the input module 170 can choose whether to provide input application data according to the identification result generated by the living body identification module 160.

That is, the input module 170 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, the input module 170 will The input application data may not be provided; and if the identification result generated by the living body identification module 160 indicates that it is passed, the input module 170 can provide the input application data (step 285), and the communication module 190 can input the data input by the input module 170 The application data (and the target image read by the chip reading module 130 and the living image captured by the image capturing module 110) are sent to the server 400 to complete the application operation (step 289). In this embodiment , Is to complete the insurance application.

In addition, if the device 100 further includes the signature module 180, the biometric identification module 160 performs biometric identification and generates the identification result (step 265) and the input module 170 completes the input of the application data (step 285), the signature template The group 180 can sign the application data and generate the signature data, and the communication module 190 can send the application data input by the input module 170, the signature data generated by the signature module 180 (and the chip reading module 130). The read target image and the living body image captured by the image capturing module 110 are 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 ability to read the target image stored in the target chip set on the certificate, and to capture the live image in real time to compare the similarity between the target image and the live image Technical means, by means of this technical means, the problem of the previous technology’s in-person meeting system or video assistance increasing the cost of financial institutions and related personnel can be solved in real time through the Internet without the need to meet with relevant personnel of financial institutions. The technical effect of insurance or account opening application.

Furthermore, the device for identifying identity based on chip pre-stored images and real-time live images of this creation can be implemented in 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 a little modification in the form and details of the implementation of this creation, and it belongs 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: Key generation 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: Indicating area 312: prompt area 400: server Step 210: connect the target chip Step 220: Read the target image stored on the target chip Step 221: Obtain target data Step 223: Generate a key based on the target data Step 225: Use the key to read the target image stored on the target chip Step 230: capture live images Step 250: Compare the target image and the live image and generate similarity Step 260: Generate a recognition result corresponding to the similarity Step 261: Determine whether the similarity is greater 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: Enter application information Step 289: Send the application information, target image, and live image to the server to complete the application

Figure 1 is a schematic diagram of the components of the device for identifying identity based on chip pre-stored images and real-time live images. Figure 2A is the flow chart of identifying the identity based on the pre-stored image on the chip and the real-time live image mentioned in the creation. Figure 2B is the flow chart of reading the target image from the target chip mentioned in the creation. Figure 2C is an additional flow chart for identifying the identity based on the pre-stored image on the chip and the real-time live image 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: Key generation 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 chip pre-stored images and real-time live images. The device at least includes: a chip reading module for connecting to a target chip and reading a target image stored in the target chip; an image capture A module for capturing a living body image; and a processing module, electrically connected to the chip reading module and the image capturing module, for executing a computer command, and generating after executing the computer command An image comparison module for comparing the target image and the living body image and generating a similarity, and generating a recognition result corresponding to the similarity. The device for identifying identity based on pre-stored images and real-time live images on a chip as described in claim 1, wherein the processing module is further used to generate a live body recognition module, and the live body recognition module is used when the similarity is higher than a certain value Carry out the identification of the living body at the time and produce the corresponding identification result. The device for recognizing identity based on pre-stored images on a chip and real-time live images as described in claim 2, wherein the live body recognition module determines a rotation direction based on a face feature in an indicated image captured by the image capture module And a rotation angle, and determine 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 identity based on chip pre-stored image and real-time live image as described in claim 1, wherein the processing module is further used to generate a key generation module, and the key generation module is used to obtain a corresponding target chip A target data, and a key is generated according to the target data, so that the chip reading module uses the key to read the target image stored in the target chip. As described in claim 3, the device for identifying identity based on pre-stored images and real-time live images on a chip, wherein the image capture module is further used to capture a data image including a character string, and the key generation module obtains the The character string contained in the data image, and the target data is generated according to the character string. The device for identifying identity based on chip pre-stored images and real-time live images as described in claim 1, wherein the device further includes an input module and a communication module, the input module is used to input an application data, the communication module It is used to send the application data, the target image and the living body image to a server after determining that the identification result is passed and the application data input is completed. The device for identifying identity based on chip pre-stored images and real-time live images as described in claim 6, 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 data, the communication module is further used to transmit the signature data to the server. The device for identifying identity based on chip pre-stored images and real-time live images as described in claim 1, wherein the chip reading module uses Near-Field Communication (NFC) to connect to the target chip. The device for identifying identity based on chip pre-stored images and real-time live images as described in claim 1, wherein the image capturing module is further used to record a process video and store the process video when the live body recognition module performs live body recognition. The device for identifying the identity based on the pre-stored image and real-time live image on the chip as described in claim 1, wherein the device further includes a display module for displaying the live image, the target image, and/or the identification result.

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