CN107944378A - The personal identification method and self-help serving system of a kind of Self-Service - Google Patents
The personal identification method and self-help serving system of a kind of Self-Service Download PDFInfo
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Abstract
The invention discloses the personal identification method and self-help serving system of a kind of Self-Service, method includes：After the self-help tax instruction for receiving user's triggering, image collecting device is called to obtain multiple image informations of active user；Judge whether the user is live body user according to multiple described image informations, if it is, obtaining up-to-standard image, the up-to-standard image is the image for including the head image information of active user；Obtain the ID card information of the user；Judge whether the head image information in head image information and the ID card information in the up-to-standard image matches, if it does, then the operation interface of displaying self-help tax.The above method carries out the confirmation of real name, real people and real example to doing tax personnel, and then realizes the risk monitoring and control to taxpayer's information, while improves and do tax efficiency.
Description
Technical Field
The invention relates to a computer technology, in particular to a self-service identity identification method and a self-service system.
Background
The self-service tax handling in the prior art is not opened to the public, and the identity information of tax handling personnel cannot be identified in real time, so real-name tax handling cannot be completed on a self-service terminal, the tax handling efficiency is low, and the tax handling service experience is reduced.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a self-service identity identification method and a self-service system.
In a first aspect, the present invention provides a self-service identity identification method, including:
after receiving a self-service tax handling instruction triggered by a user, calling an image acquisition device to acquire a plurality of pieces of image information of the current user;
judging whether the user is a living user according to the information of the plurality of images, if so, acquiring a quality-qualified image, wherein the quality-qualified image is an image comprising head portrait information of the current user;
acquiring the identity card information of the user;
judging whether the head portrait information in the quality qualified image is matched with the head portrait information in the identity card information,
and if the operation interface is matched with the self-service tax handling interface, displaying the self-service tax handling interface.
Optionally, the determining whether the user is a living user according to the pieces of image information includes:
judging whether each piece of image information has face feature information of a plurality of faces;
if not, determining whether each piece of image information meets the illumination condition;
if yes, restoring each piece of image information into three-dimensional image information;
and determining whether the current user is a living user or not based on all the three-dimensional stereo image information.
Optionally, the determining whether the user is a living user according to the pieces of image information includes:
judging whether each piece of image information has face feature information of a plurality of faces;
if yes, identifying the face feature information of the current user;
screening image information meeting the living body image judgment standard from a plurality of pieces of image information;
when each piece of screened image information meets the illumination condition, restoring each piece of screened image information into three-dimensional image information;
and determining whether the current user is a living user or not based on all the three-dimensional stereo image information.
Optionally, the image acquisition device is a binocular camera;
each piece of image information is a picture with different parallaxes and human face characteristics shot by the binocular camera.
Optionally, determining whether the current user is a living user based on all three-dimensional stereo image information includes:
identifying at least two characteristics for judging a living body from each three-dimensional stereo image information;
checking whether the posture changes of the at least two features are within a preset range or not based on all three-dimensional image information;
and if all the characteristics are within the preset range in the posture change, determining the characteristics as the living body user.
Optionally, calling the image capturing device to obtain information of a plurality of images of the current user, including:
sending first prompt information for prompting a user to check an image acquisition device, and acquiring a first image within a preset time period of sending the first prompt information;
and sending second prompt information for prompting the user to perform a specific action, and collecting a second image within a preset time period for sending the second prompt information.
Optionally, the acquiring the identity card information of the user includes:
sending third prompt information for acquiring the identity card information, and acquiring the identity card information of the current user through an identity card acquisition device within a preset time period for sending the third prompt information;
or,
and receiving an identity card number input by a user, and acquiring identity card information corresponding to the identity card number from an authentication management platform according to the identity card number.
In a second aspect, the present invention further provides a self-service system, including:
the system comprises a plurality of self-service terminals and an authentication management platform;
each self-service terminal interacts with the authentication management platform;
the self-service terminal performs the method of any of the first aspect above.
Optionally, the self-service terminal includes: the device comprises an image acquisition device and a processing device;
the processing device comprises: the image acquisition device control unit is used for controlling the image acquisition device to shoot images;
the environment light detection unit is used for detecting whether the current environment light meets the shooting condition when the image acquisition device shoots the image;
the light supplement control unit is used for supplementing light when the ambient light detection unit detects that the ambient light does not meet the shooting condition;
the image quality determining unit is used for determining whether the image shot by the image acquisition device meets the primary screening standard or not;
the face detection unit is used for detecting face characteristic information which accords with the primary screening standard and belongs to the image shot by the image acquisition device;
the multi-face interference resisting unit is used for detecting whether the face feature information of each image has interference of a plurality of other faces;
a multi-image optimization unit which selects an image capable of living body analysis from the plurality of images processed by the multi-face interference resisting unit;
the living body analysis unit restores the images screened by the multi-image selection unit into a three-dimensional model;
the dynamic posture evaluation unit is used for checking whether the posture change of the same characteristics in all the three-dimensional models is within a preset range;
and the picture quality detection unit is used for selecting the quality qualified image after the dynamic posture evaluation unit evaluates the image as a living body.
Optionally, the image acquisition device is a binocular camera.
The invention has the following beneficial effects:
according to the self-service identity recognition method and the self-service system, the living body recognition required before real-name authentication is realized through the self-service terminal, and a user can quickly recognize and confirm whether a shot object is a live person only by standing in front of equipment without performing other operations; further, in order to ensure that the piece is consistent with the self, the self-service terminal can compare the portrait information shot by the camera with the photo information on the identity card, and the real-name authentication is confirmed to pass after the comparison is successful, so that risk monitoring on taxpayer information is realized, and tax handling efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1A to fig. 1C are schematic flow charts of a self-service identity recognition method according to an embodiment of the present invention;
fig. 2 is a schematic partial structural diagram of a self-service terminal according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating identity card information provided in accordance with an embodiment of the present invention;
fig. 4 is a schematic diagram of an image capturing device according to an embodiment of the present invention;
FIG. 5 is a schematic diagram illustrating a partial structure of a self-service identification device according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a self-service system according to an embodiment of the invention.
Detailed Description
For the purpose of better explaining the present invention and to facilitate understanding, the present invention will be described in detail by way of specific embodiments with reference to the accompanying drawings.
In the following description, various aspects of the invention will be described, however, it will be apparent to those skilled in the art that the invention may be practiced with only some or all of the structures or processes of the present invention. Specific numbers, configurations and sequences are set forth in order to provide clarity of explanation, but it will be apparent that the invention may be practiced without these specific details. In other instances, well-known features have not been set forth in detail in order not to obscure the invention.
As shown in fig. 1A, fig. 1A is a schematic flow chart illustrating an identity recognition method for self-service provided in an embodiment of the present invention, where the method includes the following steps.
And S1, calling the image acquisition device to acquire the information of a plurality of images of the current user after receiving a self-service tax handling instruction triggered by the user.
For example, the image capturing device in this embodiment may select a capturing device with a binocular camera, and thus, each piece of image information may be a picture with human face features with different parallaxes captured by the binocular camera.
In this embodiment, before an image is collected, a sound playing device such as a microphone on the self-service terminal may send a first prompt message (e.g., please check a camera) prompting a user to check the image collection device, and a first image is collected within a preset time period (e.g., 10s, 15s, etc.) during which the first prompt message is sent;
after the first image is collected, second prompt information (such as prompt information of specific actions of opening a mouth, blinking and the like) for prompting a user to perform specific actions can be sent out, and a second image is collected within a preset time period when the second prompt information is sent out. As shown in fig. 4, image information may be acquired in real time.
In addition, after at least two images are acquired, whether the first image and the second image which are acquired both comprise the head portrait information of the user is judged; if not, the step of collecting the Nth image is executed again, and N is larger than 2.
S2, judging whether the user is a living user according to the image information, if so, executing step S3, if not, ending or repeating the step S1 for a predetermined number of times.
For example, step S2 may include the following sub-steps:
and a substep 001 of judging whether the face feature information of a plurality of faces exists in each piece of image information.
And (002) if not, namely when only one piece of face feature information exists in the image information, determining whether each piece of image information meets the illumination condition.
Substep 003, if satisfied, restore each image information to three-dimensional stereoscopic image information; unsatisfied, it can be discarded directly.
The sub-step 004 of determining whether the current user is a living user based on all the three-dimensional stereoscopic image information.
In another alternative implementation, the step S2 may further include the following sub-steps not shown in the figure:
the substep 01, judging whether each image information has face feature information of a plurality of faces;
substep 02, if yes, identifying the face feature information of the current user;
substep 03, screening image information meeting the living body image judgment standard from a plurality of image information;
substep 04, when each piece of screened image information meets the illumination condition, restoring each piece of screened image information into three-dimensional image information;
and a substep 05 of determining whether the current user is a living user based on all the three-dimensional stereo image information.
For example, from each three-dimensional stereo image information, at least two features for judging a living body are identified;
checking whether the posture changes of the at least two features are within a preset range or not based on all three-dimensional image information;
and if all the characteristics are within the preset range in the posture change, determining the characteristics as the living body user.
And S3, if yes, acquiring a quality-qualified image, wherein the quality-qualified image is an image including the head portrait information of the current user.
The quality-qualified image in this embodiment may be an image that has the head portrait of the current user's front and that can be compared with the image on the identification card.
And S4, acquiring the identity card information of the user.
For example, in this step, the identification card information shown in fig. 3 may be obtained in the manner shown in fig. 2, or the identification card information stored in advance may be called from the authentication management platform.
For example, the third prompt information for acquiring the identity card information may be sent first, and the identity card information of the current user is acquired through the identity card acquisition device within a preset time period when the third prompt information is sent;
or, the identity card information corresponding to the identity card number can be acquired from an authentication management platform according to the identity card number.
And S5, judging whether the head portrait information in the quality qualified image is matched with the head portrait information in the identity card information.
In the embodiment, the matching of the head portrait information is determined, which may be determined based on specific features of the head portrait information, for example, features of the eye, mouth, nose, and the like are extracted and compared, and if the error is within a preset range, the matching is determined.
And S6, if the operation interface is matched, displaying the operation interface of self-service tax handling.
According to the method, the living body identification required before real-name authentication is realized through the self-service terminal, a user can quickly identify and confirm whether a shooting object is a living person only by standing in front of the equipment, and other operations are not required by the user; further, in order to ensure that the piece is consistent with the self, the self-service terminal can compare the portrait information shot by the camera with the photo information on the identity card, and the real-name authentication is confirmed to pass after the comparison is successful, so that risk monitoring on taxpayer information is realized, and tax handling efficiency is improved.
It should be noted that the living body in the present embodiment is a proper term in the field of biometric identification, the biometric characteristic possessed by an actual living body is referred to as a living body, and the biometric characteristic copied by technical means such as a photograph, a video, and printing is a prosthesis.
The living body recognition in this embodiment is to determine whether the acquired object is a real face in the face acquisition process.
The contents of the living body recognition in fig. 1A are explained with reference to fig. 1B: the self-service terminal of the embodiment may include: the device comprises an image acquisition device and a processing device; the image acquisition device can be a binocular camera and is called by the processing device.
The processing device of the embodiment can comprise: the image acquisition device control unit is used for controlling the image acquisition device to shoot images;
the environment light detection unit is used for detecting whether the current environment light meets the shooting condition when the image acquisition device shoots the image;
the light supplement control unit is used for supplementing light when the ambient light detection unit detects that the ambient light does not meet the shooting condition;
the image quality determining unit is used for determining whether the image shot by the image acquisition device meets the primary screening standard or not; namely, whether the shot image has the problems of smear, ghost image and the like is checked.
The face detection unit is used for detecting face characteristic information which accords with the primary screening standard and belongs to the image shot by the image acquisition device;
the multi-face interference resisting unit is used for detecting whether the face feature information of each image has interference of a plurality of other faces; namely, whether a plurality of human faces exist in one image is judged; in practical application, the operators can cause more people to watch in the using process, and the people who watch the operators also become a plurality of interference factors, so that the main operators and the people who watch the operators must be effectively distinguished.
A multi-image optimization unit which selects an image capable of living body analysis from the plurality of images processed by the multi-face interference resisting unit;
the living body analysis unit restores the images screened by the multi-image selection unit into a three-dimensional model; namely, the planar image is restored into a three-dimensional model through a 3D modeling technology;
the dynamic posture evaluation unit is used for checking whether the posture change of the same characteristics in all the three-dimensional models is within a preset range; for example, it is determined whether or not a specific feature of a human face based on XYZ axes meets a preset range in a motion of turning the head, turning the head sideways, lowering the head, raising the head, or the like, and it is also determined whether or not a facial expression such as closing the eyes, opening the mouth, or the like meets a required range.
And the picture quality detection unit is used for selecting the quality qualified image after the dynamic posture evaluation unit evaluates the image as a living body.
The image acquisition device control unit, the ambient light detection unit, the light supplement control unit and the image quality determination unit in the embodiment belong to each unit of a basic control layer for living body detection;
the human face detection unit, the multi-human face interference resistance unit, the multi-image optimization unit, the living body analysis unit, the dynamic posture evaluation unit and the image quality detection unit belong to each unit of a detection layer of living body detection;
wherein, each unit of the basic control layer and each unit of the detection layer are mutually matched to realize the detection and the identification of the living human face.
The processing apparatus of the present embodiment may further include: the certificate sensing device is used for receiving information such as an identity card, the display device can display related information for the liquid crystal display screen, and the processing device can compare head images after acquiring the information of the identity card to determine whether the identity card is matched. The processing device is connected with the authentication management platform through a wireless network or a wired network; and the processing device sends alarm information through the alarm device when detecting the abnormal information and reports the abnormal information to the authentication management platform.
In the embodiment, identity authentication of real names, real persons and real certificates in self-service handling is realized through living body identification, so that remote identity authentication is realized, real person authentication is provided for self-service equipment, and labor cost is saved.
As shown in fig. 1C, fig. 1C is a schematic flow chart illustrating an identity recognition method for self-service provided in an embodiment of the present invention, where the method includes the following steps.
101. After receiving a self-service tax handling instruction triggered by a user, calling an image acquisition device to acquire at least two images, wherein the images comprise head portrait information of the user.
For example, before an image is collected, a first prompt message (e.g., please view a camera) prompting a user to view an image collection device may be sent by a sound playing device such as a microphone on the self-service terminal, and a first image is collected within a preset time period (e.g., 10s, 15s, etc.) during which the first prompt message is sent;
after the first image is collected, second prompt information (such as prompt information of specific actions of opening a mouth, blinking and the like) for prompting a user to perform specific actions can be sent out, and a second image is collected within a preset time period when the second prompt information is sent out. As shown in fig. 4, image information may be acquired in real time.
In addition, after at least two images are acquired, whether the first image and the second image which are acquired both comprise the head portrait information of the user is judged; if not, the step of collecting the Nth image is executed again, and N is larger than 2.
102. A first feature and a second feature are acquired from each image.
For example, the first feature may be an eye feature, such as an iris feature, or an eye contour feature, and the second feature may be a region feature easily recognized by the face, such as a mouth feature, a nose feature, and the like.
In this step, the first feature and the second feature may be recognized from each image, or the first feature region and the second feature region may be cut from the image, which is not limited in this embodiment.
In this embodiment, when N is greater than 2, the first to nth images may be screened, and at least two images meeting the image quality standard are screened from the N images; first and second features are identified from the filtered first and second images, respectively.
103. And comparing the first characteristics of all the images, checking whether the posture change of the first characteristics belongs to a first preset change range, and comparing the second characteristics of all the images, checking whether the posture change of the second characteristics belongs to a second preset change range.
For example, the comparison in this embodiment is to verify whether the current user belongs to a living body, rather than information of a puppet or other impersonation.
In this embodiment, the gesture change of the first feature is checked, and in other embodiments, the identifier of the first feature or the detail texture change may also be checked, and this embodiment is merely an example.
In addition, the embodiment illustrates that the first feature and the second feature are viewed, and only one feature or more than two features may be viewed in practical application and adjusted according to actual requirements.
104. And if the posture change of the first characteristic belongs to a first preset change range and the posture change of the second characteristic belongs to a second preset change range, acquiring the identity card information of the user.
For example, in this step, the identification card information shown in fig. 3 may be obtained in the manner shown in fig. 2, or the identification card information stored in advance may be called from the authentication management platform.
For example, the third prompt information for acquiring the identity card information may be sent first, and the identity card information of the current user is acquired through the identity card acquisition device within a preset time period when the third prompt information is sent;
or, the identity card information corresponding to the identity card number can be acquired from an authentication management platform according to the identity card number.
105. Judging whether the head portrait information in the image is matched with the head portrait information in the identity card information,
106. and if the operation interface is matched with the self-service tax handling interface, displaying the self-service tax handling interface.
It should be noted that, after step 103 and before step 104, if the posture change of the first feature does not belong to the first preset change range and/or the posture change of the second feature does not belong to the second preset change range, the step of acquiring at least two images by calling the image acquisition device may be repeated.
Or in other embodiments, if the repeated times are incorrect, alarm information is sent to the authentication management platform so as to facilitate manual processing.
Or, if the multiple times of repetition are incorrect, the information of the failure of the living body verification is displayed.
In addition, if the avatar information in the image of step 105 does not match the avatar information in the identification card information, a prompt message indicating that the identification card fails is presented.
According to the method, the living body identification required before real-name authentication is realized through the self-service terminal, a user can quickly identify and confirm whether a shooting object is a living person only by standing in front of the equipment, and other operations are not required by the user; further, in order to ensure that the piece is consistent with the self, the self-service terminal can compare the portrait information shot by the camera with the photo information on the identity card, and the real-name authentication is confirmed to pass after the comparison is successful, so that risk monitoring on taxpayer information is realized, and tax handling efficiency is improved.
On the other hand, an embodiment of the present invention further provides an identity recognition apparatus for self-service, where the identity recognition apparatus of this embodiment includes: the device comprises a characteristic acquisition unit, a characteristic comparison unit, an identity card information acquisition unit, a matching unit and a display unit;
the image acquisition device comprises a feature acquisition unit, a feature acquisition unit and a feature extraction unit, wherein the feature acquisition unit is used for acquiring a first feature and a second feature from each image after the image acquisition device is called to acquire more than two images;
the characteristic comparison unit is used for comparing first characteristics of all the images, checking whether the posture change of the first characteristics belongs to a first preset change range, comparing second characteristics of all the images and checking whether the posture change of the second characteristics belongs to a second preset change range;
the identity card information acquisition unit is used for acquiring the identity card information of the user when the posture change of the first characteristic belongs to a first preset change range and the posture change of the second characteristic belongs to a second preset change range;
the matching unit is used for matching the head portrait information in the image with the head portrait information in the identity card information;
and the display unit is used for displaying the self-service tax handling operation interface when the matching unit determines matching so as to enable the current user to carry out the self-service tax handling process.
The self-service identity recognition device in this embodiment is further divided into three layers in specific applications, as shown in fig. 5, a basic control layer, a living body face detection layer, and a data processing layer, where the feature acquisition unit and the feature comparison unit may belong to the living body face detection layer, and the identity card information acquisition unit, the matching unit, and the display unit may belong to the data processing layer;
the basic control layer can be a camera control unit for controlling and calling the image acquisition device, a light supplement control unit in the image acquisition process, an image quality control unit and the like.
The data processing layer of the embodiment is also used for realizing the self-service tax handling process of the user.
In addition, it should be noted that the self-service identification device may be located in the processing device of the self-service terminal. The self-service terminal of the embodiment may include: the certificate identification system comprises an image acquisition device, a certificate sensing device, a processing device, a display device and an alarm device;
the image acquisition device, the certificate sensing device, the display device and the alarm device are all connected with the processing device; the processing device is connected with the authentication management platform through a wireless network or a wired network; and the processing device sends alarm information through the alarm device when detecting the abnormal information and reports the abnormal information to the authentication management platform.
In another aspect, an embodiment of the present invention further provides a self-service system, where the self-service system may include: the system comprises a plurality of self-service terminals and an authentication management platform; each self-service terminal interacts with the authentication management platform; the self-service terminal of the embodiment executes the identity recognition method of the self-service.
As shown in fig. 6, the self-service system of the present embodiment may include a plurality of self-service terminals and a plurality of real-name tax authentication system clients;
generally, a self-service terminal is oriented to a common taxpayer, a self-service system executes living body face recognition and witness comparison before the taxpayer handles business according to business needs, and finally enters a formal specific business handling process after passing authentication.
The self-service system may include: a data layer, a service layer and a display layer; wherein the data layer includes: biological characteristic information of tax staff, system management staff and the like, and a platform database storing various data, wherein the data layer comprises a core system of a self-service system, such as an electronic tax bureau, an electronic file system, a current three-tax related system and the like;
the service layer is used for calling the information of the data layer to display the data on the display layer, and the service layer can comprise a real-name tax-handling authentication service module, a real-name tax-handling authentication management module and the like.
The self-service system of the embodiment is based on a tax core system, and performs operations such as identification card identification, living body face detection and the like before self-service tax handling so as to realize risk management and control of taxpayers.
The self-service terminal of the embodiment simultaneously realizes the collection and verification functions of real-name tax administration authentication information on the basis of realizing various service functions such as invoice receiving, invoice generation and tax completion certification printing and the like, and the client of the real-name tax administration self-service authentication system is in butt joint with tax core systems such as a Jinsan system, an electronic tax bureau and an electronic file system to realize the synchronization and management of tax staff information and tax staff information, so that the synchronous management of electronic files is realized, the risk information monitoring of taxpayers is simultaneously realized, the problems of low manual identification efficiency and easy error in the real-name tax administration process are solved, and the tax service experience is further improved.
It is to be understood that the invention is not limited to the specific arrangements and instrumentality described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the present invention.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Finally, it should be noted that: the above-mentioned embodiments are only used for illustrating the technical solution of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A self-service identity identification method is characterized by comprising the following steps:
after receiving a self-service tax handling instruction triggered by a user, calling an image acquisition device to acquire a plurality of pieces of image information of the current user;
judging whether the user is a living user according to the information of the plurality of images, if so, acquiring a quality-qualified image, wherein the quality-qualified image is an image comprising head portrait information of the current user;
acquiring the identity card information of the user;
judging whether the head portrait information in the quality qualified image is matched with the head portrait information in the identity card information,
and if the operation interface is matched with the self-service tax handling interface, displaying the self-service tax handling interface.
2. The method according to claim 1, wherein determining whether the user is a living user based on the plurality of pieces of image information includes:
judging whether each piece of image information has face feature information of a plurality of faces;
if not, determining whether each piece of image information meets the illumination condition;
if yes, restoring each piece of image information into three-dimensional image information;
and determining whether the current user is a living user or not based on all the three-dimensional stereo image information.
3. The method according to claim 1, wherein determining whether the user is a living user based on the plurality of pieces of image information includes:
judging whether each piece of image information has face feature information of a plurality of faces;
if yes, identifying the face feature information of the current user;
screening image information meeting the living body image judgment standard from a plurality of pieces of image information;
when each piece of screened image information meets the illumination condition, restoring each piece of screened image information into three-dimensional image information;
and determining whether the current user is a living user or not based on all the three-dimensional stereo image information.
4. The method of claim 1, wherein the image acquisition device is a binocular camera;
each piece of image information is a picture with different parallaxes and human face characteristics shot by the binocular camera.
5. The method according to claim 2 or 3, wherein determining whether the current user is a living user based on all three-dimensional stereo image information comprises:
identifying at least two characteristics for judging a living body from each three-dimensional stereo image information;
checking whether the posture changes of the at least two features are within a preset range or not based on all three-dimensional image information;
and if all the characteristics are within the preset range in the posture change, determining the characteristics as the living body user.
6. The method of claim 4, wherein calling the image capture device to obtain a plurality of image information of the current user comprises:
sending first prompt information for prompting a user to check an image acquisition device, and acquiring a first image within a preset time period of sending the first prompt information;
and sending second prompt information for prompting the user to perform a specific action, and collecting a second image within a preset time period for sending the second prompt information.
7. The method of claim 1, wherein the obtaining the identity card information of the user comprises:
sending third prompt information for acquiring the identity card information, and acquiring the identity card information of the current user through an identity card acquisition device within a preset time period for sending the third prompt information;
or,
and receiving an identity card number input by a user, and acquiring identity card information corresponding to the identity card number from an authentication management platform according to the identity card number.
8. A self-service system, comprising:
the system comprises a plurality of self-service terminals and an authentication management platform;
each self-service terminal interacts with the authentication management platform;
the kiosk performs the method of any of claims 1 to 7.
9. The system of claim 8, wherein the kiosk comprises: the device comprises an image acquisition device and a processing device;
the processing device comprises: the image acquisition device control unit is used for controlling the image acquisition device to shoot images;
the environment light detection unit is used for detecting whether the current environment light meets the shooting condition when the image acquisition device shoots the image;
the light supplement control unit is used for supplementing light when the ambient light detection unit detects that the ambient light does not meet the shooting condition;
the image quality determining unit is used for determining whether the image shot by the image acquisition device meets the primary screening standard or not;
the face detection unit is used for detecting face characteristic information which accords with the primary screening standard and belongs to the image shot by the image acquisition device;
the multi-face interference resisting unit is used for detecting whether the face feature information of each image has interference of a plurality of other faces;
a multi-image optimization unit which selects an image capable of living body analysis from the plurality of images processed by the multi-face interference resisting unit;
the living body analysis unit restores the images screened by the multi-image selection unit into a three-dimensional model;
the dynamic posture evaluation unit is used for checking whether the posture change of the same characteristics in all the three-dimensional models is within a preset range;
and the picture quality detection unit is used for selecting the quality qualified image after the dynamic posture evaluation unit evaluates the image as a living body.
10. The system of claim 9, wherein the image capture device is a binocular camera.
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