Authentication image acquisition device, authentication image acquisition method, and authentication image acquisition program

The authentication image acquisition device adjusts imaging guides based on individual size and distance to ensure optimal image capture within the camera's depth of field, addressing alignment challenges and reducing authentication failures.

JP7843466B2Active Publication Date: 2026-04-10PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO LTD
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2022-07-29
Publication Date
2026-04-10

AI Technical Summary

Technical Problem

In biometric authentication systems, individuals of varying sizes (e.g., adults and children) face challenges in aligning with a fixed biometric guide figure, leading to potential out-of-focus images and increased burden due to authentication failures and re-photography needs.

Method used

An authentication image acquisition device and method that includes first and second imaging units, a generation unit, and a display unit to generate and superimpose a size-adjusted imaging guide on captured images, guiding individuals to optimal imaging positions based on detected fixed objects and estimated distances.

Benefits of technology

Enables capturing images suitable for authentication by guiding individuals to positions within the camera's depth of field, reducing authentication failures and re-photography requirements.

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Abstract

To provide an authentication image acquisition device, an authentication image acquisition method, and an authentication image acquisition program for guiding a target person to a position where an image more suitable for authentication can be captured, in capturing an image of the target person to be used for authentication.SOLUTION: In an authentication image acquisition device in which a server and a plurality of authentication terminals transmit / receive data over a network, a processor 20 being an authentication end as an authentication image acquisition device includes: an imaging unit 14 which images a target person to be authenticated; a guide adjustment unit 27 as a part of a generation unit which generates a guide image obtained by superimposing an imaging guide for guiding the target person to an imaging position on an image captured by the imaging unit 14; an attribute estimation unit 21 as a part of an acquisition unit which acquires information on the target person on the basis of the captured image; and a display unit 15 which displays the guide image. The guide adjustment unit 27 generates an imaging guide of a size based on the information on the target person, and superimposes the imaging guide on the captured image.SELECTED DRAWING: Figure 2
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Description

Technical Field

[0001] The present disclosure relates to an authentication image acquisition device, an authentication image acquisition method, and an authentication image acquisition program.

Background Art

[0002] In recent years, at airports and the like, biometric authentication technologies such as face authentication are used for personal authentication. As an example of acquiring an image of a living body (for example, face, hand, finger, etc.) to be authenticated, Patent Document 1 has been conventionally disclosed. In Patent Document 1, a data registration device displays a biometric guide figure indicating a biometric shape on a display unit, photographs a subject, and determines whether the photographing environment of the living body is appropriate based on a living body area that is an area within the biometric guide figure in the photographed second output data. When it is determined that the photographing environment is appropriate, the photographed second output data is registered.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In personal authentication, the size of the living body used for authentication varies depending on the person (for example, an adult and a child). Therefore, when a biometric guide figure of the same size is displayed, the subject is required to move so as to match the size of the biometric guide figure displayed on the display unit by approaching or moving away from the camera. In particular, when the subject is a small child, the subject may not be able to make the size of the living body correspond to the size of the biometric guide figure unless it approaches the camera extremely closely.

[0005] However, if the subject moves too close or too far from the camera to match the size of the displayed biometric guide figure, the body's position may fall outside the camera's depth of field. This presents challenges for the data registration device, such as increased burden on the subject due to biometric authentication failures, the need for re-photography of the body, and difficulty in acquiring image data suitable for biometric authentication.

[0006] This disclosure was devised in view of the conventional circumstances described above, and aims to provide an authentication image acquisition device, an authentication image acquisition method, and an authentication image acquisition program that guide a person to a position where an image more suitable for authentication can be captured when acquiring an image of the person used for authentication. [Means for solving the problem]

[0007] This disclosure includes a first imaging unit that images the person to be authenticated, A second imaging unit for capturing an image of the identification document of the aforementioned person, A generation unit generates a guide image by superimposing an imaging guide for guiding the target person to the imaging position onto a first image captured by the first imaging unit, The second image captured by the second imaging unit. Based on the above, the subject person Attributes The system comprises an information acquisition unit and a display unit that displays the guide image, and the generation unit is The acquisition unit acquired The aforementioned person Attributes The present invention provides an authentication image acquisition device that generates an imaging guide of size based on information and superimposes it on the first captured image. Furthermore, this disclosure provides an authentication image acquisition device comprising: a first imaging unit for imaging a target person to be authenticated; a second imaging unit for imaging the target person and a background; a generation unit for generating a guide image by superimposing an imaging guide for guiding the target person to the imaging position onto a first image captured by the first imaging unit; an acquisition unit for detecting a fixed object from the background of a second image captured by the second imaging unit that allows for the estimation of the distance between the authentication image acquisition device and the target person, and for acquiring the size of the target person's face or hand based on the distance based on the detected fixed object and the position and size of the target person shown in the second image; and a display unit for displaying the guide image, wherein the generation unit generates an imaging guide of a size based on the size of the face or hand and superimposes it onto the first image.

[0008] Furthermore, this disclosure relates to an authentication image acquisition method performed by an authentication image acquisition device that acquires an image of a person who is subject to authentication, and the device acquires an image of the person who is subject to authentication. The first captured image and the second captured image of the subject person's identification card are obtained, and the second Based on the captured image, the subject person Attributes Obtain the information and the above First The captured image shows the aforementioned subject person. Attributes The present invention provides an authentication image acquisition method that generates a guide image with an information-based size and superimposed on an imaging guide that guides the target person to the imaging position, and displays the guide image. Furthermore, this disclosure provides an authentication image acquisition method performed by an authentication image acquisition device that acquires an image of a person to be authenticated, the method comprising: acquiring a first image of the person and a second image of the person and background; detecting a fixed object from the background of the second image that allows the distance between the authentication image acquisition device and the person to be estimated; acquiring the size of the face or hand of the person based on the distance based on the detected fixed object and the position and size of the person appearing in the second image; generating a guide image superimposed on the first image by adding an imaging guide having a size based on the size of the face or hand and guiding the person to the imaging position; and displaying the guide image.

[0009] In addition, the present disclosure provides a computer, i.e., an authentication image acquisition device, capable of acquiring an imaging image of a target person to be authenticated, and causes the computer to image the target person The first captured image and the second captured image of the subject person's identification document are obtained. and The second acquire information on the target person based on the imaging image, and Attributes generate a guide image in which an imaging guide having a size based on the information on the target person is superimposed on the imaging image and which guides the target person to an imaging position, and First display the guide image, and provides an authentication image acquisition program for realizing the above steps. Attributes Furthermore, this disclosure provides an authentication image acquisition program for an authentication image acquisition device, which is a computer capable of acquiring captured images of a person to be authenticated, to perform the following steps: acquiring a first captured image of the person and a second captured image of the person and a background; detecting a fixed object from the background of the second captured image that allows the distance between the authentication image acquisition device and the person to be authenticated to be estimated; acquiring the size of the face or hand of the person based on the distance based on the detected fixed object and the position and size of the person appearing in the second captured image; generating a guide image superimposed on the first captured image, which has a size based on the size of the face or hand and guides the person to the imaging position; and displaying the guide image.

Advantages of the Invention

[0010] According to the present disclosure, in imaging an imaging image of a target person used for authentication, the target person can be guided to a position where an imaging image more suitable for authentication can be taken.

Brief Description of the Drawings

[0011] [Figure 1] Explanatory diagram showing an example of the overall authentication system according to Embodiment 1 [Figure 2] Block diagram showing an example of the functional configuration of the authentication terminal according to Embodiment 1 [Figure 3(a)] Diagram showing an example of the data table according to Embodiment 1 [Figure 3(b)] Diagram showing an example of the data table according to Embodiment 1 [Figure 4(a)] Diagram showing an example of the guide frame according to Embodiment 1 [Figure 4(b)] Diagram showing an example of the guide frame according to Embodiment 1 [Figure 4(c)] Diagram showing an example of the guide frame according to Embodiment 1 [Figure 4(d)] Diagram showing an example of the guide frame according to Embodiment 1 [Figure 5] Flowchart showing an example of the guide adjustment process according to Embodiment 1 [Figure 6] Flowchart showing an example of guide adjustment processing according to Embodiment 1 [Figure 7] Flowchart showing an example of guide adjustment processing according to Embodiment 2 [Figure 8(a)] Diagram explaining the positional relationship among the authentication terminal, the scale on the floor surface (fixed reference object), and the target person in Embodiment 3 [Figure 8(b)] Diagram explaining the positional relationship among two imaging units, the scale on the floor surface (fixed reference object), and the target person in Embodiment 3 [Figure 8(c)] Diagram explaining the use case of the authentication system in Embodiment 3 [Figure 9] Flowchart showing an example of guide adjustment processing according to Embodiment 3 [Figure 10] Flowchart showing an example of guide adjustment processing according to a modified example of Embodiment 3 [Figure 11] Diagram explaining an example of the attribute information input screen [Figure 12(a)] Diagram showing an example of the display screen [Figure 12(b)] Diagram showing an example of the display screen

Embodiments for Carrying Out the Invention

[0012] Hereinafter, while appropriately referring to the drawings, embodiments specifically disclosing the configurations and operations of the authentication image acquisition device, authentication image acquisition method, and authentication image acquisition program according to the present disclosure will be described in detail. However, detailed descriptions that are more than necessary may be omitted. For example, detailed descriptions of well-known matters and duplicate descriptions of substantially the same configurations may be omitted. This is to avoid making the following descriptions unnecessarily redundant and to facilitate the understanding of those skilled in the art. Note that the attached drawings and the following descriptions are provided to enable those skilled in the art to fully understand the present disclosure, and it is not intended to limit the subject matter described in the claims thereby.

[0013] (Embodiment 1) Hereinafter, Embodiment 1 will be described using FIGS. 1 to 6.

[0014] Figure 1 is a system configuration diagram of the authentication system 100 according to Embodiment 1. Figure 2 is a block diagram showing an example of the functional configuration of the authentication terminal 10 according to Embodiment 1. The authentication system 100 according to Embodiment 1 is composed of a server 80 and a plurality of authentication terminals 10. Note that the configuration of the authentication system 100 shown in Figure 1 is just an example and is not limited thereto.

[0015] In the example shown in Embodiment 1, the size of the guide frame is adjusted based on the attribute information of the person being authenticated (e.g., the person's race, gender, age, etc.). This makes it usable for applications such as authentication at airport gates and online banking.

[0016] The authentication system 100 according to Embodiment 1 comprises a server 80, authentication terminals 10, and a network 70. The server 80 and the multiple authentication terminals 10 are connected via the network 70 via wireless or wired communication to send and receive data. Wireless communication here refers to communication via a wireless LAN (Local Area Network), such as Wi-Fi (registered trademark).

[0017] A server 80, as an example of the authentication system 100, is connected via a network 70 to each of the multiple authentication terminals 10, enabling data transmission and reception.

[0018] The server 80 consists of a communication unit 81, a processor 82, and memory 83.

[0019] The communication unit 81 transmits and receives data to and from each of the multiple authentication terminals 10 via the network 70.

[0020] The processor 82 is configured, for example, using a CPU (Central Processing Unit) or FPGA (Field Programmable Gate Array), and works in cooperation with the memory 83 to perform various processes and controls related to the authentication process of the target person. For example, the processor 82 calculates the feature quantities of the target person from the captured image and performs authentication by comparing them with the feature quantities of multiple people stored in the memory 83.

[0021] Memory 83 includes a recording device that includes semiconductor memory such as RAM (Random Access Memory) and ROM (Read Only Memory), and a storage device such as an SSD (Solid State Drive) or HDD (Hard Disk Drive). Memory 83 stores a registered face image, a registered hand image, a data table 25, and other data used for authentication.

[0022] Server 80 uploads and downloads various data based on requests (control commands) sent from the authentication terminal 10. For example, Server 80 initiates authentication based on an authentication request (control command) received from the authentication terminal 10. Server 80 performs authentication by comparing captured images of the subject's face, hands, and other biological parts with captured images of the face or hands registered in memory 83, and then performs processes such as sending the authentication result to the authentication terminal 10, and sending a data table 25 of the guide frame 30 for each attribute based on the authentication result to the authentication terminal 10.

[0023] An example of an authentication image acquisition device, the authentication terminal 10, can be implemented as, for example, a stationary computer terminal, a PC (Personal Computer), a notebook PC, a tablet terminal, or a smartphone. The authentication terminal 10 is connected to the server 80 via the network 70, enabling data transmission and reception.

[0024] The authentication terminal 10 comprises a communication unit 11, a processor 20, a memory 12, one or more imaging units 14A, 14B, and a display unit 15. The authentication terminal 10 may also include a positioning unit 13 and an input unit 16. Although not shown in Figure 1, the authentication terminal 10 may have multiple display units 15. Furthermore, the display unit 15, imaging units 14A, 14B, or other components of the authentication terminal 10 may be configured separately and installed in a location physically separate from the main body of the authentication terminal 10.

[0025] The communication unit 11 performs data transmission and reception with the server 80 via the network 70.

[0026] The processor 20 is configured, for example, using a CPU or FPGA, and works in cooperation with the memory 12 to perform various processes and controls. Specifically, the processor 20 refers to the programs and data held in the memory 12 and executes those programs to realize the functions used for authentication.

[0027] The memory 12 has a recording device that includes semiconductor memory such as RAM and ROM, and either an SSD or an HDD, and stores a data table 25 for changing the size of the guide frame 30, which will be described later.

[0028] The imaging units 14A and 14B are so-called cameras that include a solid-state image sensor such as a CCD (Charged-Coupled Device) or CMOS (Complementary Metal Oxide Semiconductor) and a lens, and convert the optical image formed on the imaging surface into an electrical signal. The imaging units 14A and 14B output the captured image to the processor 20. The imaging unit 14A is an example of a first imaging unit, and the imaging unit 14B is an example of a second imaging unit.

[0029] As an example of an output unit, the display unit 15 is configured using a display such as an LCD (Liquid Crystal Display) or an organic EL (Electroluminescence). The display unit 15 displays various screens output from the processor 20.

[0030] The input unit 16 is an interface configured using, for example, a touch panel, keyboard, or mouse. The input unit 16 receives input operations from the target person, converts the received input operations into electrical signals (control commands), and outputs them to the processor 20. If the input unit 16 is configured using a touch panel, the input unit 16 may be configured integrally with the display unit 15.

[0031] Furthermore, the input unit 16 may be a device such as an IC card reader, which may read attribute information of the target person from an IC chip embedded in an identification document such as a passport, driver's license, or employee ID, and output it to the processor 20.

[0032] An example of a measurement unit is the positioning unit 13, which measures the distance between the authentication terminal 10 and the target person and outputs the result to the processor 20.

[0033] Next, the guide frame 30 displayed on the display unit 15 of the authentication terminal 10 will be described with reference to Figures 4(a) to 4(d). The guide frame 30 is displayed on the display unit 15 to guide the imaging unit 14A to a position where it can more appropriately capture an image of the target person that can be used for biometric authentication. Figure 4(a) is a diagram showing an example of the guide frame 30 according to Embodiment 1.

[0034] Figure 4(a) shows an example of the display of the guide screen 15A shown on the display unit 15 of the authentication terminal 10. The display unit 15 shown in Figure 4(a) displays a face image (an example of a guide image) in which a guide frame 30 is superimposed on the captured image of the target person taken by the imaging unit 14A. The face image is generated by the processor 20 and displayed on the display unit 15. In this way, the authentication terminal 10 can prompt the target person to move so that their face size corresponds to the size of the guide frame 30 by displaying a face image in which a guide frame 30 is superimposed on the captured image of the target person on the display unit 15.

[0035] Furthermore, the authentication terminal 10 overlays a message 31, "Please place your face within the red frame," on the display unit 15, prompting the user to place their face within the guide frame 30. This allows the authentication terminal 10 to prompt the user to move so that the outline of their face fits within the guide frame 30.

[0036] Furthermore, the size of the guide frame 30 is variable. For example, in the example shown in Figure 4(b), a guide frame 30 smaller than the one shown in Figure 4(a) is displayed. Figure 4(b) is a diagram showing an example of the guide frame 30 according to Embodiment 1.

[0037] Furthermore, if the guide frame 30 is changed to a smaller shape, the display position of the guide frame 30 on the display unit 15 may be offset not only in the center of the display unit 15, but also in the vertical or horizontal directions. The method for determining the display position will be explained later.

[0038] Furthermore, the guide frame 30 is not limited to the hook shape shown in Figure 4(a), but may also be in the shape of a rectangle, circle, ellipse, or other shape.

[0039] Furthermore, the guide frame 30 may also be a guide that guides the position of the subject's hand, as shown in the examples in Figures 4(c) and 4(d). Figure 4(c) is a diagram showing an example of the guide frame 30 according to Embodiment 1. Figure 4(d) is a diagram showing an example of the guide frame 30 according to Embodiment 1. When guiding the position of the hand, the display unit 15 displays a hand image in which the guide frame 30 is superimposed on the captured image of the subject's hand. The hand image is generated by the processor 20, similar to the face image, and displayed on the display unit 15.

[0040] Next, the operation of the attribute estimation unit 21, which is a function performed by the processor 20, will be explained. The processor 20 uses the captured image captured by the imaging unit 14A to estimate and extract attribute information of the subject person, such as nationality, race, gender, and age.

[0041] As an example of an acquisition unit, the attribute estimation unit 21 estimates the attribute information of a target person using an image of the target person's face. This estimation utilizes AI (Artificial Intelligence) technologies such as deep learning and machine learning-based image processing techniques to estimate the target person's race, gender, age, and other attribute information. For example, the attribute estimation unit 21 uses a trained attribute estimation model to process the image of the target person and obtains the attribute information estimation results output from the attribute estimation model. These estimation results are data (information) that directly or indirectly indicate the attribute information of the target person.

[0042] Furthermore, when the attribute estimation unit 21 estimates the attribute information of a target person using an image of the target person's hand, it similarly uses AI technology to estimate attribute information such as the target person's race, gender, and age. The image used for estimation here may be an image of the palm side of the target person's hand, or an image of the back side of the hand.

[0043] Furthermore, when the attribute estimation unit 21 uses an image of a person's identity, it uses AI technology, character recognition technology, etc., to acquire attribute information such as the nationality, gender, and age of the person in question.

[0044] Next, the data table 25 that the processor 20 refers to in the adjustment process of the guide frame 30 described later will be explained with reference to Figures 3(a) and 3(b). Figure 3(a) is a diagram showing an example of data table 25A according to Embodiment 1. Figure 3(b) is a diagram showing an example of data table 25B according to Embodiment 1.

[0045] The data table 25 is stored in the memory 12 of the authentication terminal 10 and referenced by the processor 20. When the server 80 updates the data tables 25A and 25B recorded in the data table 25 via the network 70, the processor 20 of the authentication terminal 10 obtains the update data for the data table 25 sent from the server 80 and updates the data table 25 in the memory 12 with the obtained update data for the data table 25.

[0046] The data table 25A shown in Figure 3(a) is data that associates the attribute information of the subject with the size information (size) of the guide frame 30. It associates each attribute information (i.e., the subject's gender, age, nationality, etc.) with the size information of the guide frame 30 superimposed on the captured image of the subject. The standard size is indicated as "100%" in data table 25A. Specifically, data table 25 records information indicating that if the subject's attribute information shows nationality as "Japanese," gender as "female," and age as "in their 60s," then a guide frame 30 with a size of 75% of the standard size (100%) will be superimposed on the captured image.

[0047] Here, the attribute information associated with data table 25A and the size information of the guide frame 30 are determined based on the (relative) size of the subject's face and hands in the image captured by the imaging unit 14A, when the distance between the imaging unit 14A and the subject's face and hands is within the depth of field of the imaging unit 14A. That is, if the subject's face and hands are large, the proportion of the face and hands in the image captured by the imaging unit 14A will be large, and if the subject's face and hands are small, the proportion of the face and hands in the image captured by the imaging unit 14A will be small. Therefore, the authentication terminal 10 sets the size (size information) of the guide frame 30 superimposed on each subject's image in accordance with the size of the subject's face and hands based on the subject's attribute information.

[0048] Furthermore, each item of attribute information in data table 25A may be modified depending on the configuration of the authentication system 100 that uses it. For example, when obtaining attribute information of a subject based on an image of the subject's face, the "nationality" item of attribute information may be omitted. Also, for example, when obtaining attribute information of a subject from an image of the subject's hand, the "nationality" and "gender" items of attribute information may be omitted.

[0049] The data table 25B shown in Figure 3(b) is data that associates the size (length) of the subject's face in the captured image with the size information of the guide frame 30. Note that the item "face size" included in data table 25B is not limited to the length of the subject's face (length from the top of the head to the chin), but may also be the width of the face or the area of ​​the face.

[0050] Furthermore, while data table 25B shows an example where the size (length) of the subject's face is associated with the size information of the guide frame 30, the size (length), area, etc., of the subject's hand may also be associated with the size information of the guide frame 30. This allows the authentication terminal 10 to obtain the size information of the guide frame 30 based on the size (length), area, etc., of the subject's hand.

[0051] Next, we will explain the operation of the matching unit 26, which is a function performed by the processor 20.

[0052] The matching unit 26 uses the attribute information estimated by the attribute estimation unit 21 to compare with the data table 25 and obtain the size information of the guide frame 30 superimposed on the captured image.

[0053] Furthermore, the matching unit 26 may use the attribute information acquired by the input unit 16 to compare with the data table 25 and acquire size information of the guide frame 30 superimposed on the captured image (information on the relative size of the guide frame 30 to the standard size of the guide frame 30). For example, if the input unit 16 accepts input operations from the subject person, the matching unit 26 may use the information (attribute information) entered into the input unit 16 to refer to the data table 25. Also, for example, if the input unit 16 is an IC card reader, the matching unit 26 may use the information (attribute information) read from the IC card to refer to the data table 25 and acquire size information of the guide frame 30 superimposed on the captured image.

[0054] Next, the operation of the guide adjustment unit 27, which is a function performed by the processor 20, will be described. The guide adjustment unit 27 generates the guide frame 30 and determines the display position of the guide frame 30 on the display unit 15.

[0055] As an example of a generation unit, the guide adjustment unit 27 creates a guide frame 30 based on the size information output from the matching unit 26. The guide adjustment unit 27 transforms a pre-determined standard-sized guide frame 30 to the size of the guide frame 30 based on the size information obtained from the matching unit 26.

[0056] Furthermore, the guide adjustment unit 27 may change the size of the guide frame 30 without using the size information output from the matching unit 26. If the guide adjustment unit 27 can estimate the area (size) of the face and hands of the target person, it generates a guide frame 30 of a size corresponding to the estimated area (size) of the face and hands. In that case, the guide adjustment unit 27 reduces the size of the guide frame 30 the smaller the estimated area (size) of the face and hands of the target person. This prevents a target person with a small face and hands from getting too close to the imaging unit 14A and going outside the depth of field of the imaging unit 14A.

[0057] Next, the guide adjustment unit 27 determines the display position of the guide frame 30 displayed on the display unit 15. When the display area of ​​the display unit 15 capable of displaying captured images (face image, hand image) corresponds to the field of view of the imaging unit 14A, and the captured images (face image, hand image) are displayed at the center of the display area, and the guide frame 30 is displayed in the center of the display unit 15, the imaging unit 14A can capture the target person with the central part of the lens (not shown). As a result, the authentication terminal 10 can capture the target person with the central part of the lens where lens distortion is small, thereby improving the authentication accuracy of personal authentication using captured images of the face and hands.

[0058] Furthermore, the guide frame 30 may be displayed not only in the center of the display unit 15, but also at positions offset vertically or horizontally. If the guide adjustment unit 27 can estimate the size (length) of the subject's face, it refers to the data table 25B shown in Figure 3(b) and creates a guide frame 30 of a size appropriate to the estimated face size (length). In that case, the guide adjustment unit 27 changes the relative size of the guide frame 30 based on the estimated face size (length) of the subject. There is a correlation between the area (size) of a subject's face and their height; for example, young people and elderly people tend to have smaller faces and are likely to be shorter. Therefore, if the subject is estimated to be elderly or young, the authentication terminal 10 offsets the display position of the guide frame 30 to the lower side of the display unit 15, allowing imaging without burdening the subject with stretching or other actions. Also, if the subject is tall, the authentication terminal 10 offsets the display position of the guide frame 30 to the upper side of the display unit 15, allowing imaging without burdening the subject with bending or other actions.

[0059] Next, the authentication unit 28, which is a function performed by the processor 20, will be described. The authentication unit 28 generates an authentication request that includes an image of the target person and a control command requesting biometric authentication using the image. The processor 20 sends the authentication request to the server 80 via the communication unit 11.

[0060] Next, the registration unit 29, a function performed by the processor 20, will be described. The registration unit 29 generates a registration request that includes an image of the target person (i.e., a registration image of the face or a registration image of the hand) and a control command requesting the registration of the image. The processor 20 sends the registration request to the server 80 via the communication unit 11.

[0061] Next, we will describe the image storage unit 22, which is a function performed by the processor 20. The image storage unit 22 temporarily stores the images acquired from the imaging units 14A and 14B.

[0062] Next, the operation of the authentication system 100 according to Embodiment 1 will be described with reference to Figure 5. Figure 5 is a flowchart showing an example of guide adjustment processing according to Embodiment 1. In addition, some or all of the processing of each step processed by the authentication terminal 10 may be performed by the server 80.

[0063] Furthermore, in the following explanation, we will describe an example of facial recognition at an airport gate to make the explanation easier to understand.

[0064] The authentication terminal 10 displays a message (not shown) on the display unit 15 requesting the presentation of identification (ST101).

[0065] The authentication terminal 10 photographs the identification document presented by the person concerned using the imaging unit 14A (or an imaging unit 14B different from imaging unit 14A) (ST102). Here, the identification document may be a driver's license, passport, health insurance card, etc.

[0066] The authentication terminal 10 detects the identity document from the captured image and reads the identity document information written on it (ST103).

[0067] The authentication terminal 10 processes the identification document captured in the image to extract attribute information such as the nationality, gender, and age of the person concerned (ST104), and determines whether or not it has estimated the attribute information of the person concerned from the identification document (ST105).

[0068] If the authentication terminal 10 determines that it has estimated attribute information (ST105, Yes), it reads the data table 25A from the memory 12 (ST106) and obtains size information of the guide frame 30 superimposed on the captured image based on the extracted attribute information (ST107). Based on the obtained size information, the authentication terminal 10 adjusts the size of the guide frame 30, generates a face image with the guide frame 30 superimposed on the captured image, and displays it on the display unit 15 (ST108).

[0069] Furthermore, if the authentication terminal 10 determines that attribute information has not been inferred from the identity verification (ST105, No), it proceeds to step ST109.

[0070] The authentication terminal 10 counts the number of times the imaging unit 14A takes images for identity verification and determines whether the current count exceeds a threshold (ST109). If the authentication terminal 10 determines that the current count does not exceed the threshold (ST109, No), it returns to step ST101 and repeats the imaging process.

[0071] On the other hand, if the authentication terminal 10 determines that the counted number of images has exceeded a threshold (ST109, Yes), it generates a standard-sized guide frame 30, generates a face image by superimposing the guide frame 30 onto the captured image, and displays it on the display unit 15 (ST110).

[0072] After step ST108 or step ST110, the authentication system 100 proceeds to the process of authenticating the target person by the server 80.

[0073] As described above, the authentication system 100 according to Embodiment 1 acquires attribute information of the target person from the identification document and acquires size information of the guide frame 30 based on the acquired attribute information. The authentication system 100 can perform authentication using an image captured by superimposing the guide frame 30, which was generated based on the acquired size information, onto the captured image on the display unit 15, thereby enabling authentication using an image captured by capturing the target person within the depth of field of the imaging unit 14A.

[0074] (Modified version of Embodiment 1) The authentication system 100 according to Embodiment 1 was described in an example in which an identity document is captured by the imaging unit 14A. The authentication system 100 according to a modified embodiment of Embodiment 1 will describe an example in which attribute information of a target person is acquired by another method, such as by inputting attribute information by the target person or by reading an IC card.

[0075] Figure 6 shows a flowchart that receives attribute information input from a target person and displays a guide frame 30 for photographing the target person's face. Figure 6 is a flowchart showing an example of guide adjustment processing according to Embodiment 1.

[0076] The authentication terminal 10 displays an attribute information input screen SC11 (see Figure 11) on the display unit 15, which includes a message MSG11 requesting the input of attribute information of the target person (ST201).

[0077] The authentication terminal 10 receives attribute information entered into the input unit 16 (ST202).

[0078] The authentication terminal 10 captures an image of the target person with the imaging unit 14A (ST203). Note that the image capture process of the target person is not limited to the procedure shown in Figure 6 (step ST203). It can be performed at any time between steps ST201 to ST206 or steps ST201 to ST208.

[0079] The authentication terminal 10 determines whether it has obtained the attribute information necessary to determine the size of the guide frame 30 based on the input attribute information (ST204).

[0080] If the authentication terminal 10 determines that it has obtained the attribute information necessary to determine the size of the guide frame 30 (ST204, Yes), it reads the data table 25A from the memory 12 (ST205).

[0081] The authentication terminal 10 compares the attribute information with the data table 25A to obtain the size information of the guide frame 30 (ST206).

[0082] The authentication terminal 10 generates a guide frame 30 based on the size information of the guide frame 30, and displays the face image with the generated guide frame 30 superimposed on the captured image on the display unit 15 (ST207).

[0083] If the authentication terminal 10 determines that it has not obtained the attribute information necessary to determine the size of the guide frame 30 (ST204, No), it counts the number of times the imaging unit 14A has taken an image for identity verification and determines whether the current count exceeds a threshold (ST208). If the authentication terminal 10 determines that the current count exceeds the threshold (ST208, Yes), it returns to step ST201 and repeats the imaging process.

[0084] On the other hand, if the authentication terminal 10 determines that the counted number of images taken does not exceed a threshold (ST208, No), it generates a standard-sized guide frame 30, generates a face image by superimposing the guide frame 30 onto the captured image, and displays it on the display unit 15 (ST209).

[0085] After step ST207 or step ST209, the authentication system 100 proceeds to the process of authenticating the target person by the server 80.

[0086] As described above, the authentication system 100 according to Embodiment 1 accepts attribute information input from the target person and acquires size information of the guide frame 30 based on the received attribute information. The authentication system 100 can perform authentication using an image captured by superimposing the guide frame 30, which was generated based on the acquired size information, onto the captured image on the display unit 15, thereby enabling authentication using an image captured by capturing the target person within the depth of field of the imaging unit 14A.

[0087] Now, with reference to Figure 11, the attribute information input screen SC11 displayed in step ST201 will be described. Figure 11 is a diagram showing an example of the attribute information input screen SC11. Note that the attribute information input screen SC11 shown in Figure 11 is just an example and is not limited thereto.

[0088] The attribute information input screen SC11 is generated by the processor 20 and output (displayed) on the display unit 15. The attribute information input screen SC11 includes a message MSG11 "Please enter age and gender" prompting the target person to input attribute information, an input field that can accept input of at least one attribute information (in the example shown in Figure 11, input fields for attribute information "age" and "gender"), and a button BT11.

[0089] When the button BT11 is pressed (selected) by the target person, the processor 20 acquires the attribute information entered in the input fields of the attribute information input screen SC11 as the attribute information of the target person.

[0090] (Embodiment 2) The authentication system 100 according to Embodiment 1 described above shows an example of acquiring attribute information of a target person based on identification shown in the captured image or input operations by the target person. The authentication system 100 according to Embodiment 2 describes an example of estimating and acquiring attribute information of a target person based on an image of the target person. Figure 7 shows a flowchart in which the face of a target person is photographed, attribute information of the target person is estimated from the captured face image, and the guide frame 30 is displayed. Figure 7 is a flowchart of an example of guide adjustment processing according to Embodiment 2.

[0091] The authentication terminal 10 captures an image of the target person using the imaging unit 14A and acquires an image of the region that includes at least a part of the target person's face (ST301).

[0092] The authentication terminal 10 detects the face of the target person based on the captured image and extracts the image of the detected face portion from the captured image (ST302).

[0093] The authentication terminal 10 performs image processing on the extracted facial image to estimate the attribute information of the target person (ST303).

[0094] If the authentication terminal 10 determines that it has estimated the attribute information of the target person based on the image of the face (ST304, Yes), it reads the data table 25A from the memory 12 (ST305).

[0095] The authentication terminal 10 refers to the data table 25A and obtains the size information of the guide frame 30 based on the attribute information of the target person (ST306).

[0096] The authentication terminal 10 generates the size of the guide frame 30 based on the size information, generates a face image by superimposing the guide frame 30 onto the captured image, and displays it on the display unit 15 (ST307).

[0097] Meanwhile, in step ST304, if the authentication terminal 10 determines that attribute information cannot be estimated based on the image of the face (ST304, No), it counts the number of times the imaging unit 14A captures the target person and determines whether the counted number of captures exceeds a threshold (ST308). After displaying the face image containing the message, the authentication terminal 10 repeatedly recaptures the target person, but if it determines that the counted number of captures (i.e., the number of times the attribute information of the target person cannot be obtained) exceeds a threshold (ST308, Yes), it sets the guide frame 30 superimposed on the captured image to a standard size, generates a face image with the guide frame 30 adjusted to the standard size superimposed, and displays it on the display unit 15 (ST310).

[0098] If the authentication terminal 10 determines that the number of counted images (i.e., the number of times the attribute information of the target person cannot be obtained) does not exceed a threshold (ST308, No), it generates a face image including message 31 and displays it on the display unit 15 (ST309), and then restarts the processing of step ST301. As a result, the authentication terminal 10 can guide the target person to a position corresponding to the depth of field of the imaging unit 14A by displaying a face image with a guide frame 30 superimposed on it on the display unit 15. Note that the message displayed here is not limited to message 31, and may be generated based on the size of the face in the captured image. For example, if the authentication terminal 10 determines that the size of the target person's face is large compared to the size of the displayed guide frame 30, it generates and displays a message prompting the person to move away from the authentication terminal 10, and if it determines that the face is small, it generates and displays a message prompting the person to move closer to the authentication terminal 10.

[0099] After step ST307 or step ST310, the authentication system 100 proceeds to the process of authenticating the target person by the server 80.

[0100] As described above, the authentication system 100 according to Embodiment 2 acquires attribute information of the target person based on the face of the target person captured in the captured image, and acquires size information of the guide frame 30 based on the acquired attribute information. The authentication system 100 generates a guide frame 30 of a size based on the acquired size information, generates a face image by superimposing the generated guide frame 30 onto the captured image, and displays it on the display unit 15, thereby enabling authentication using the captured image of the target person captured at the depth of field of the imaging unit 14A.

[0101] Here, the guide frame 30 may be displayed on the display unit 15 before imaging the target person in step ST301. In that case, the guide frame 30 displayed in advance is not limited to the attribute information of the target person, but is a guide frame 30 of standard size.

[0102] Furthermore, the authentication system 100 according to Embodiment 2 described above adjusts the size of the guide frame 30 that captures an image of the target person using a facial image for the purpose of authenticating the target person's face. However, the image used for authenticating the target person is not limited to the face. An image of the target person's hand may also be used. When an image of the target person's hand is used, the size of the guide frame 30 superimposed on the hand image may be adjusted by estimating the target person's attribute information from the image of the hand. In this case, when using an image of the hand, it becomes easier to estimate the target person's attribute information (race, age, gender) by using an image of the back of the hand.

[0103] Furthermore, in the authentication system 100 according to Embodiment 2 described above, the size information of the guide frame 30 used for capturing the face of the target person is acquired and adjusted using attribute information estimated from the captured image in which the face of the target person is captured. However, the captured image for estimating the attribute information is not limited to an image showing a face. Attribute information may also be estimated from an captured image in which the hands of the target person are captured, and the size information of the guide frame 30 for capturing the face image of the target person used for authentication may be acquired.

[0104] Alternatively, attribute information may be obtained from the captured image of the target person, and the guide frame 30 for capturing an image of the target person's hand used for authentication may be adjusted.

[0105] (Embodiment 3) The authentication system 100 according to Embodiment 2 shows an example in which the system estimates and acquires attribute information of a target person based on the target person appearing in an image captured of the target person. The authentication system 100 according to Embodiment 3 describes an example in which the system estimates the area (size) of the target person's face using an image captured of an area including the target person's whole body and background, and generates a guide frame 30 according to the area (size) of the face. Embodiment 3 will be described below using Figures 8(a), 8(b), and 9, respectively.

[0106] Figure 8(a) is a diagram illustrating the positional relationship between the authentication terminal 10, the floor scale (fixed reference object), and the target person in Embodiment 3. Each of the floor scales indicates the distance between the authentication terminal 10 and the respective scale, and these distances are measured in advance.

[0107] In the example shown in Figure 8(a), the authentication terminal 10 uses the imaging unit 14A to image a target person located at a scale mark 3m away from the authentication terminal 10, and obtains an image that includes the entire body of the target person and the scale mark.

[0108] The authentication terminal 10 determines that the target person is located 3m away from the authentication terminal 10 by performing image analysis on the scales visible in the acquired image. The authentication terminal 10 derives the area (size) of the target person's face and the target person's height based on the relationship between the imaging distance (i.e., the distance between the imaging unit 14A and the target person) based on the target person's position and the size (length) of the target person's entire body within the overall image (i.e., the field of view of the imaging unit 14A). The scales on the floor may each have different colors and different lengths. The authentication terminal 10 may store information on the color and length of each scale in association with the distance information between the authentication terminal 10 and the target person indicated by each scale.

[0109] Here, a fixed reference object, as an example of a fixed object, is not limited to the markings on the floor surface shown in the example in Figure 8(a), but can also be used, for example, the pattern of the floorboards, a carpet tile with multiple tiles of different colors arranged together, furniture placed on the floor, or a potted plant. In such a case, the authentication terminal 10 may be associated by the administrator of the authentication terminal 10 with a marker indicating each distance between the target person and the authentication terminal 10 (for example, the pattern of the floorboards, the carpet tile, the furniture, or the potted plant). As a result, the authentication terminal 10 can detect the markers and the target person in the captured image, and estimate the distance between the authentication terminal 10 and the target person based on the positional relationship between the detected markers and the target person.

[0110] Figure 8(b) is a diagram illustrating the positional relationship between the two imaging units 14A and 14B, the floor scale (fixed reference object), and the target person in Embodiment 3. The authentication terminal 10 shown in Figure 8(b) describes an example in which the target person is imaged using each of the two imaging units 14A and 14B.

[0111] The authentication terminal 10 is equipped with two imaging units 14A and 14B. Imaging unit 14A captures an image used for authenticating the target person. Imaging unit 14A is installed near the display unit 15 (i.e., at a position close to the height of the target person's face).

[0112] The imaging unit 14B captures images used to estimate the distance between the authentication terminal 10 and the target person. The imaging unit 14B is installed at a position higher than the height of the target person (specifically, at a height of 2m to 3m from the floor) and captures images looking down on the target person and a fixed reference object.

[0113] Figure 9 is a flowchart showing an example of guide adjustment processing according to Embodiment 3. The flowchart shown in Figure 9 is a flowchart for the process of estimating the area (size) of the face of a target person using captured images of the target person and a fixed reference object, and then changing the size of the guide frame 30 for display.

[0114] The authentication terminal 10 generates a standard-sized guide frame 30 and displays the generated guide frame 30 superimposed on the captured image on the display unit 15 (ST401).

[0115] The authentication terminal 10 captures an image of the entire body of the subject (ST402).

[0116] The authentication terminal 10 analyzes the captured image to detect the entire body of the target person and a fixed reference object. Based on the positional relationship between the detected entire body of the target person and the fixed reference object, the authentication terminal 10 estimates the distance (imaging distance) between the authentication terminal 10 (imaging unit 14A or imaging unit 14B) and the target person (ST403).

[0117] The authentication terminal 10 estimates the area (size) of the subject person's face based on the estimated imaging distance (ST404).

[0118] The authentication terminal 10 determines whether or not it has estimated the area (size) of the target person's face based on the captured image (ST405). If the authentication terminal 10 determines that it has estimated the area (size) of the target person's face (ST405, Yes), it refers to the data table 25 and obtains the size information of the guide frame 30 based on the estimated face area (size). The authentication terminal 10 adjusts the size of the guide frame 30 based on the obtained size information (ST406).

[0119] The authentication terminal 10 generates a face image by superimposing the resized guide frame 30 onto the captured image and displays it on the display unit 15 (ST407). The authentication terminal 10 may also change the position of the face image displayed on the display unit 15 based on the height of the subject. For example, if the authentication terminal 10 determines that the subject is short, it may display the face image with the guide frame 30 superimposed at a position below the center of the display unit 15. This allows the authentication terminal 10 to capture an image of a short subject without requiring the subject to stretch to match the guide frame 30.

[0120] On the other hand, if the authentication terminal 10 determines in step ST404 that it has not estimated the area (size) of the face (ST405, No), it counts the number of times the imaging unit 14A has captured images of the target person and determines whether the counted number of images (i.e., the number of times the face area could not be estimated) exceeds a threshold (ST408).

[0121] If the number of counted images exceeds a threshold (ST408, Yes), the authentication terminal 10 generates a face image by superimposing a standard-sized guide frame 30 onto the captured image and displays it on the display unit 15 (ST409).

[0122] On the other hand, if the authentication terminal 10 determines that the number of counted imaging sessions (i.e., the number of times the face area could not be estimated) does not exceed a threshold (ST408, No), it generates a guidance message MSG12 to guide the subject to a position where the entire body of the subject can be imaged, displays it on the display unit 15 (ST410), and restarts the processing of step ST401. The message displayed in step ST410 is a message prompting the subject to move away from the authentication terminal 10 and move down to a predetermined mark on the floor.

[0123] Then, after step ST407 or step ST409, the authentication system 100 proceeds to the process of authenticating the target person.

[0124] As described above, the authentication system 100 according to Embodiment 3 can capture an image of a target person within the depth of field of the imaging unit 14A by displaying a guide frame 30, which is generated based on the area (size) of the target person's face, on the display unit 15. The authentication system 100 can perform authentication using the captured image.

[0125] Here, with reference to Figure 12(a), an example of the guidance message MSG12 displayed in step ST410 or step ST510 will be described. Figure 12(a) is a diagram showing an example of the display screen SC12. Note that the guidance message MSG12 and fixed references shown in Figure 12(a) are examples only and are not limited thereto.

[0126] The display screen SC12 is generated by the processor 20 and output (displayed) on the display unit 15. The display screen SC12 includes a guidance message MSG12, an captured image FIG121, and a cropped image FIG122. If the processor 20 determines that the entire body of the subject is captured in the captured image FIG121, it omits the generation of the guidance message MSG12 and generates a display screen SC12 that does not include the guidance message MSG12, which is then displayed on the display unit 15.

[0127] The guidance message MSG12 is a message that guides the subject to a position where the entire body of the subject can be imaged by the imaging unit 14A.

[0128] The captured image FIG121 is an image captured by the imaging unit 14A. The cropped image FIG122 is an image obtained by the processor 20 through image analysis processing, in which the area containing the face of the subject is cropped from the captured image FIG121 and enlarged to a predetermined size.

[0129] Furthermore, in the processing of step ST408 or step ST508, the processor 20 may determine whether the orientation of the subject person's face in the captured image (i.e., captured image FIG121) taken in step ST402 or step ST503 is suitable for estimating the area (size) of the subject person's face. In such a case, the processor 20 detects the subject person's face from the captured image FIG121 and estimates the orientation of the subject person's face based on the detected face.

[0130] Here, with reference to Figure 12(b), an example of the guidance message MSG13 displayed in step ST410 or step ST510 will be described. Figure 12(b) is a diagram showing an example of the display screen SC13. Note that the guidance message MSG13 and fixed references shown in Figure 12(b) are examples only and are not limited thereto.

[0131] The display screen SC13 is generated by the processor 20 and output (displayed) on the display unit 15. The display screen SC13 includes a guidance message MSG13, an captured image FIG131, and a cropped image FIG132. If the processor 20 determines that the face of the subject in the captured image FIG131 is facing forward, it omits the generation of the guidance message MSG13 and generates a display screen SC13 that does not include the guidance message MSG13, which is then displayed on the display unit 15.

[0132] The guidance message MSG13 is a message that guides the direction of the subject's face so that the imaging unit 14A can capture the subject's face from the front. The guidance message MSG13 may also be output as audio via a speaker (not shown) or the like.

[0133] The captured image FIG131 is an image captured by the imaging unit 14A. The cropped image FIG132 is an image obtained by the processor 20 through image analysis processing, in which the area containing the subject person's face is cropped from the captured image FIG131 and enlarged to a predetermined size.

[0134] (Modified example of Embodiment 3) The authentication system 100 according to Embodiment 3 describes an example in which the area (size) of the target person's face is estimated using an image captured from an area including the entire body of the target person and the background, and a guide frame 30 is generated according to the area (size) of the face. The authentication system 100 according to a modified version of Embodiment 3 describes an example in which the absolute distance between the authentication terminal 10 and the target person is measured using the positioning unit 13, and the size of the guide frame 30 is determined based on the measured absolute distance and the area (size) of the target person's face captured in the image.

[0135] Hereinafter, modifications of Embodiment 3 will be described using Figures 8(c) and 10, respectively. Figure 8(c) is a diagram illustrating a use case of the authentication terminal 10 in Modification 1 of Embodiment 3. In Figure 8(c), an example is shown in which the positioning unit 13 is attached to the lower side of the authentication terminal 10, but it goes without saying that the mounting position of the positioning unit 13 is not limited to this.

[0136] Referring to Figure 10, the guide adjustment process in a modified example of Embodiment 3 will be described. Figure 10 is a flowchart showing an example of the guide adjustment process according to a modified example of Embodiment 3.

[0137] The authentication terminal 10 displays the captured image with a standard-sized guide frame 30 superimposed on it on the display unit 15 (ST501).

[0138] The authentication terminal 10 measures the absolute distance between the authentication terminal 10 (imaging unit 14A) and the target person using the positioning unit 13 (ST502). Specifically, the authentication terminal 10 obtains the absolute distance by calculating the distance between the imaging unit 14A and the target person based on the position (distance) of the target person measured by the positioning unit 13 and the pre-set mounting position of the positioning unit 13 relative to the imaging unit 14A.

[0139] The authentication terminal 10 captures the face of the target person using the imaging unit 14A (ST503).

[0140] The authentication terminal 10 estimates the actual face area (size) of the subject based on the measured absolute distance and the proportion of the subject's face in the captured image (ST504). In step ST504, the authentication terminal 10 may also measure the subject's height based on the absolute distance and the position of the subject's face in the captured image.

[0141] The authentication terminal 10 determines whether or not it has estimated the actual face area (size) of the target person (ST505). If the authentication terminal 10 determines that it has estimated the actual face area (size) of the target person (ST505, Yes), it determines the size of the guide frame 30 based on the estimated actual face area (size) of the target person. The authentication terminal 10 adjusts the size of the guide frame 30 (ST506).

[0142] The authentication terminal 10 generates a face image by superimposing the resized guide frame 30 onto the captured image and displays it on the display unit 15 (ST507). Here, the authentication terminal 10 may change the position in which the face image with the superimposed guide frame 30 is displayed on the display unit 15 based on the height of the person being captured.

[0143] On the other hand, if the authentication terminal 10 determines in step ST505 that it is not possible to estimate the area (size) of the face (ST505, No), it determines whether the number of times the target person has been captured by the imaging unit 14A (i.e., the number of times the face area could not be estimated) exceeds a threshold (ST508).

[0144] If the number of counted images exceeds a threshold (ST508, Yes), the authentication terminal 10 generates a face image by superimposing a standard-sized guide frame 30 onto the captured image and displays it on the display unit 15 (ST509).

[0145] On the other hand, if the authentication terminal 10 determines that the number of counted images (i.e., the number of times the face area could not be estimated) does not exceed a threshold (ST508, No), it generates a message on the display unit 15 to guide the direction of the subject's face so that the subject's face can be captured from the front (ST510), and then restarts the process of step ST501. The message displayed in step ST510 is a message prompting the subject to move away from the authentication terminal 10 and move down to a predetermined mark on the floor.

[0146] After step ST507 or step ST509, the authentication system 100 proceeds to the process of authenticating the target person.

[0147] As described above, the authentication system 100 according to Embodiment 3 can capture an image of a target person within the depth of field of the imaging unit 14A by displaying a guide frame 30, which is generated based on the area (size) of the target person's face, on the display unit 15. The authentication system 100 can perform authentication using the captured image.

[0148] (Other embodiments) Below, we will describe other embodiments, specifically configurations that combine the embodiments described above.

[0149] As an example of combining each embodiment, Embodiment 1 and Embodiment 2 are combined. Specifically, first, following the flowchart shown in Figure 5, the identity card of the target person is read, attribute information is estimated from the read identity card to determine the size of the guide frame 30, and the guide frame 30 is generated. Next, following the flowchart shown in Figure 7, the imaging unit 14A captures the face of the target person, and the captured image is used to update the size of the guide frame 30 superimposed on the face image. As a result, even if attribute information cannot be estimated from the identity card (for example, step ST109, Yes), the authentication terminal 10 can use the captured image of the target person to display a guide frame 30 that is more suitable for authentication.

[0150] As described above, the authentication terminal 10 of Embodiment 2 (an example of an authentication image acquisition device) comprises: an imaging unit 14A (an example of a first imaging unit) that images the target person to be authenticated; a guide adjustment unit 27 (an example of a generation unit) that generates a face image or hand image (an example of a guide image) by superimposing a guide frame 30 (an example of an imaging guide) that guides the target person to the imaging position onto the image captured by the imaging unit 14A (an example of a first image); an attribute estimation unit 21 (an example of an acquisition unit) that acquires information about the target person (for example, attribute information of the target person, size (area) of the face or hand, etc.) based on the image; and a display unit 15 that displays the face image or hand image. The guide adjustment unit 27 generates a guide frame 30 of a size based on the information about the target person and superimposes it onto the image. As a result, the authentication terminal 10 can guide the target person to an imaging area and distance where an image suitable for authentication can be captured.

[0151] Furthermore, the imaging unit 14A of the authentication terminal 10 according to Embodiment 1 captures images of the target person and the target person's identification document. The attribute estimation unit 21 acquires attribute information of the target person based on the captured image in which the identification document is captured. As a result, the authentication terminal 10 can guide the target person to an imaging area and distance where an image more suitable for authentication can be captured, based on the target person's attribute information.

[0152] Furthermore, the authentication terminal 10 according to Embodiment 1 further includes an imaging unit 14B that images the identity document of the target person. The attribute estimation unit 21 acquires attribute information of the target person based on the image captured by the imaging unit 14B (an example of a second image). The guide adjustment unit 27 generates a guide frame 30 of a size based on the attribute information of the target person. As a result, the authentication terminal 10 can guide the target person to an imaging area and distance where an image more suitable for authentication can be captured, based on the attribute information of the target person.

[0153] Furthermore, the authentication terminal 10 according to Embodiment 1 further includes an input unit 16 that accepts input operations of attribute information of the target person by the target person. The attribute estimation unit 21 acquires the attribute information of the target person input into the input unit 16. As a result, the authentication terminal 10 can guide the target person to an imaging area and distance where an image suitable for authentication can be captured, based on the attribute information of the target person input from the input device.

[0154] Furthermore, the attribute estimation unit 21 of the authentication terminal 10 according to Embodiment 2 detects the face or hands of the target person from the captured image of the target person and acquires attribute information of the target person based on the detected face or hands. As a result, the authentication terminal 10 can estimate the attribute information of the target person using the captured images of the target person's face and hands, and guide the target person to an imaging area and distance where an image more suitable for authentication can be captured based on the target person's attributes.

[0155] Furthermore, the authentication terminal 10 according to Embodiment 2 further includes an imaging unit 14B that captures an image of the target person, which is different from the imaging unit 14A. The attribute estimation unit 21 acquires attribute information of the target person based on the image of the target person captured by the imaging unit 14B. The guide adjustment unit 27 generates a guide frame 30 of a size based on the attribute information of the target person. As a result, the authentication terminal 10 can acquire the size of the target person's face and hands, and guide the target person to an imaging area and distance where an image more suitable for authentication can be captured based on the size of the face and hands.

[0156] Furthermore, the authentication terminal 10 of Embodiment 3 further comprises an imaging unit 14B that images the target person and the background. The attribute estimation unit 21 estimates the size of the target person's face or hand based on the position and size of the target person relative to the background of the second image captured by the imaging unit 14B, and obtains the estimated size of the face or hand. The guide adjustment unit 27 generates a guide frame 30 of a size based on the size of the face or hand. As a result, the authentication terminal 10 can obtain the size of the target person's face and hand, and guide the target person to an imaging area and distance where an image more suitable for authentication can be captured based on the size of the face and hand.

[0157] Furthermore, in the third embodiment of the authentication terminal 10, the attribute estimation unit 21 detects a fixed reference object (an example of a fixed object) from the background of the second image captured by the imaging unit 14B that allows for the estimation of the distance between the authentication terminal 10 and the target person. Based on the distance based on the detected fixed reference object and the position and size of the target person shown in the second image, the unit obtains the size of the target person's face or hands. As a result, the authentication terminal 10 can obtain the size of the target person's face and hands, and guide the target person to an imaging area and distance where an image more suitable for authentication can be captured based on the size of the face and hands.

[0158] Furthermore, the authentication terminal 10 according to a modified embodiment of the third embodiment further includes a positioning unit 13 (an example of a measuring unit) that measures the distance between the authentication terminal 10 and the target person. The attribute estimation unit 21 acquires the size of the target person's face or hands based on the distance measured by the positioning unit 13 and the captured image of the target person. The guide adjustment unit 27 generates a guide frame 30 of a size based on the size of the face or hands. As a result, the authentication terminal 10 can acquire the size of the target person's face and hands, and guide the target person to an imaging area and distance where an image more suitable for authentication can be captured based on the size of the face and hands.

[0159] Although various embodiments have been described above with reference to the drawings, it goes without saying that this disclosure is not limited to such examples. It is clear to those skilled in the art that various modifications, alterations, substitutions, additions, deletions, and equivalents can be conceived within the scope of the claims, and these are also understood to fall within the technical scope of this disclosure. Furthermore, the components of the various embodiments described above can be combined arbitrarily without departing from the spirit of the invention. [Industrial applicability]

[0160] This disclosure is useful as an authentication image acquisition device, an authentication image acquisition method, and an authentication image acquisition program for guiding a person to a position where an image more suitable for authentication can be captured when capturing an image of the person used for authentication. [Explanation of symbols]

[0161] 10 Authentication terminals 11 Communications Department 12 memory 13 Positioning Unit 14A, 14B Imaging Unit 15 Display 16 Input section 20 processors 21 Attribute estimation part 22 Image storage unit 25, 25A, 25B Data Table 26 Verification section 27 Guide adjustment section 28. Certification Department 29 Registration Department 30 Guide Frames 70 Networks 80 servers 100 Authentication Systems

Claims

1. A first imaging unit that captures an image of the person to be authenticated, A second imaging unit for capturing an image of the identification document of the aforementioned person, A generation unit generates a guide image by superimposing an imaging guide for guiding the target person to the imaging position onto a first image captured by the first imaging unit, An acquisition unit that acquires attribute information of the target person based on the second image captured by the second imaging unit, It comprises a display unit that displays the aforementioned guide image, The generation unit generates an imaging guide of size based on the attribute information of the target person acquired by the acquisition unit, and superimposes it onto the first image. Authentication image acquisition device.

2. A first imaging unit that images a person who is to be authenticated, A second imaging unit that images the subject person and the background, A generation unit generates a guide image by superimposing an imaging guide for guiding the target person to the imaging position onto a first image captured by the first imaging unit, An acquisition unit detects a fixed object from the background of the second image captured by the second imaging unit that allows for the estimation of the distance between the authentication image acquisition device and the target person, and acquires the size of the target person's face or hand based on the distance based on the detected fixed object and the position and size of the target person shown in the second image captured. It comprises a display unit that displays the aforementioned guide image, The generation unit generates an imaging guide based on the size of the face or hand and superimposes it onto the first image. Authentication image acquisition device.

3. A method for acquiring authentication images performed by an authentication image acquisition device that acquires captured images of a person who is to be authenticated, A first image of the subject and a second image of the subject's identification document are obtained. Based on the second captured image, attribute information of the subject person is obtained. A guide image is generated by superimposing an imaging guide onto the first captured image, the guide having a size based on the attribute information of the target person and guiding the target person to the imaging position. Display the aforementioned guide image. How to obtain the verification image.

4. A method for acquiring an authentication image performed by an authentication image acquisition device that acquires an image of a person who is to be authenticated, A first image captured of the subject person and a second image captured of the subject person and the background are obtained. A fixed object is detected from the background of the second captured image, which allows for the estimation of the distance between the authentication image acquisition device and the target person. Based on the distance based on the detected fixed object and the position and size of the subject person shown in the second captured image, the size of the subject person's face or hand is obtained. A guide image is generated by superimposing an imaging guide, which has a size based on the size of the face or hand, on the first captured image, and which guides the target person to the imaging position. Display the aforementioned guide image. How to obtain the verification image.

5. The authentication image acquisition device is a computer capable of acquiring captured images of the person to be authenticated. The steps include obtaining a first image of the subject person and a second image of the subject person's identification document, The steps include obtaining attribute information of the target person based on the second captured image, The steps include generating a guide image by superimposing an imaging guide on the first captured image, the guide having a size based on the attribute information of the target person and guiding the target person to the imaging position, To realize the step of displaying the aforementioned guide image, Authentication image acquisition program.

6. A computer capable of acquiring captured images of a person who is to be authenticated, The steps include acquiring a first image of the subject person and a second image of the subject person and the background, A step of detecting a fixed object from the background of the second captured image that allows for the estimation of the distance between the authentication image acquisition device and the target person, A step of obtaining the size of the face or hand of the target person based on the distance based on the detected fixed object and the position and size of the target person shown in the second captured image, The steps include generating a guide image by superimposing an imaging guide having a size based on the size of the face or hand, which guides the target person to the imaging position, onto the first captured image, To realize the step of displaying the aforementioned guide image, Authentication image acquisition program.

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