WO2018036389A1 - 用户核身方法、装置及系统 - Google Patents

用户核身方法、装置及系统 Download PDF

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Publication number
WO2018036389A1
WO2018036389A1 PCT/CN2017/096987 CN2017096987W WO2018036389A1 WO 2018036389 A1 WO2018036389 A1 WO 2018036389A1 CN 2017096987 W CN2017096987 W CN 2017096987W WO 2018036389 A1 WO2018036389 A1 WO 2018036389A1
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WIPO (PCT)
Prior art keywords
eye
face image
eye pattern
preset
image
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2017/096987
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English (en)
French (fr)
Chinese (zh)
Inventor
何乐
庹宇鲲
李亮
黄冕
陈继东
杨文波
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Alibaba Group Holding Ltd
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Alibaba Group Holding Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority to EP17842812.4A priority Critical patent/EP3506589B1/en
Priority to ES17842812T priority patent/ES2879682T3/es
Priority to AU2017314341A priority patent/AU2017314341B2/en
Priority to CA3034612A priority patent/CA3034612C/en
Priority to PL17842812T priority patent/PL3506589T3/pl
Priority to JP2019510864A priority patent/JP6756037B2/ja
Priority to SG11201901519XA priority patent/SG11201901519XA/en
Priority to MYPI2019000894A priority patent/MY193941A/en
Application filed by Alibaba Group Holding Ltd filed Critical Alibaba Group Holding Ltd
Priority to KR1020197007983A priority patent/KR102084900B1/ko
Publication of WO2018036389A1 publication Critical patent/WO2018036389A1/zh
Priority to US16/282,102 priority patent/US10467490B2/en
Priority to PH12019500383A priority patent/PH12019500383B1/en
Anticipated expiration legal-status Critical
Priority to ZA2019/01506A priority patent/ZA201901506B/en
Priority to US16/587,376 priority patent/US10997443B2/en
Priority to AU2019101579A priority patent/AU2019101579A4/en
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/197—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/40—Spoof detection, e.g. liveness detection
    • G06V40/45—Detection of the body part being alive
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/50—Maintenance of biometric data or enrolment thereof
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/0861—Network architectures or network communication protocols for network security for authentication of entities using biometrical features, e.g. fingerprint, retina-scan
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30168—Image quality inspection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30196—Human being; Person
    • G06T2207/30201—Face

Definitions

  • the present invention relates to the field of information technology, and in particular, to a user core method, apparatus, and system.
  • the face image recognition is usually combined with the face image in vivo verification, that is, while the collected face image is verified, some face action parameters are sent to the user, and the user needs to follow these Action to complete the action biometric verification.
  • a more realistic 3D face image can be synthesized at present, and the user's motion and expression can be simulated, the accuracy and reliability of the existing user's nucleus method are low, and the security of the user's application APP cannot be guaranteed.
  • the embodiment of the present invention provides a user core method, device, and system, and the main purpose thereof is to solve the problem that the accuracy and reliability of the user core method in the prior art are low.
  • the present invention provides the following technical solutions:
  • an embodiment of the present invention provides a user core method, including:
  • the core success information is sent to the client.
  • an embodiment of the present invention provides another user core method, including:
  • an embodiment of the present invention provides a server, including:
  • a receiving unit configured to receive a face image corresponding to the kernel object sent by the client, and an eye-pair image corresponding to the number of eye-collection steps;
  • a comparison unit configured to compare the face image with a preset face image, and compare the eye line pair image with a preset eye pattern template
  • a sending unit configured to send the core success information to the client if the comparison result of the face image and the eye pattern pair image meets a preset condition.
  • an embodiment of the present invention provides a client, including:
  • the collecting unit is configured to collect a face image corresponding to the body object and an eye line pair image corresponding to the number of eye line collecting steps;
  • a sending unit configured to send the face image and the eye-pair image to the server, so that the server performs core verification on the core object.
  • an embodiment of the present invention provides a user core system, including:
  • a server configured to send, to the client, a face quality threshold value and an eye line collection step number corresponding to the current body mode when receiving the user core request;
  • a client configured to acquire a face image according to the face quality threshold and obtain an eye-pair image corresponding to the number of eye-collection steps;
  • the server is further configured to receive a face image sent by the client and an eye-pair image corresponding to the number of eye-collection steps; compare the face image with a preset face image, and compare the The eye pattern compares the image with the preset eye pattern template; if the comparison result of the face image and the eye pattern to the image meets the preset condition, the core success information is sent to the client.
  • the technical solution provided by the embodiment of the present invention has at least the following advantages:
  • the user core method, device and system provided by the embodiment of the present invention first receive a face image corresponding to the kernel object sent by the client and an eye corresponding to the number of eye pattern acquisition steps when receiving the user's core request. And pairing the face image with the preset face image, and comparing the eye pattern to the preset eye pattern, if the face image and the eye pattern If the comparison result of the image meets the preset condition, the core success information is sent to the client.
  • the embodiment of the present invention combines eye image verification and eye pattern image by face image verification. Multi-dimensional verification methods such as in-vivo verification implement the user's nucleus, which improves the accuracy and reliability of the user's nucleus method, and ensures the security of the user when using the application.
  • FIG. 1 is a flowchart of a user core method according to an embodiment of the present invention
  • FIG. 2 is a flowchart of another user core method provided by an embodiment of the present invention.
  • FIG. 3 is a flowchart of still another user core method provided by an embodiment of the present invention.
  • FIG. 4 is a flowchart of still another user core method according to an embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of a server according to an embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of another server according to an embodiment of the present invention.
  • FIG. 7 is a schematic structural diagram of a client according to an embodiment of the present invention.
  • FIG. 8 is a schematic structural diagram of another client according to an embodiment of the present invention.
  • FIG. 9 is a schematic diagram of a user core system according to an embodiment of the present invention.
  • FIG. 10 is a schematic flowchart of a user core scene according to an embodiment of the present invention.
  • An embodiment of the present invention provides a user core method. As shown in FIG. 1 , the method includes:
  • the larger the number of eye pattern acquisition steps the longer the eye pattern acquisition time. Therefore, when the number of eye pattern templates of the nucleus body is sufficient, the number of eye pattern acquisition steps can be relatively small; When the number of pattern templates is small, in order to collect the eye pattern, the image is accumulated as an eye pattern template of the body object, and therefore, the number of eye pattern acquisition steps can be relatively larger.
  • different eyelet collecting steps are configured according to different situations, and the user's core body precision can be further improved.
  • the server may specifically perform data transmission with the client through a communication manner such as a mobile cellular network or a WIFI network, which is not limited in the embodiment of the present invention.
  • the pre-set face image may be a photo that is registered by the user on the public security network or a face photo that has passed through the user's nucleus, which is not limited in the embodiment of the present invention.
  • the preset eye pattern template may be a plurality of sets of eye pattern pairs that have passed the security verification.
  • the comparison operation may specifically be performed to detect whether the matching degree between the images meets the preset requirement, which is not limited in the embodiment of the present invention.
  • the preset condition may be a face ratio halving threshold, an eye line ratio halving threshold, and the like, which are not limited in the embodiment of the present invention.
  • the comparison result of the face image and the eye-line pair image conforms to a preset condition, the verification of the nuclear body is successful, thereby realizing multi-dimensionality such as image through face image and eye pattern.
  • the user's nucleus can further improve the accuracy of the user's nucleus method.
  • a user core method provided by the embodiment of the present invention when receiving a request from a user, first receives a face image corresponding to the kernel object sent by the client and an eye-pair image corresponding to the number of eye-collection steps. And comparing the face image with the preset face image, and comparing the eye pattern to the preset eye pattern, if the face image and the eye pattern are compared to the image If the result meets the preset condition, the core success information is sent to the client.
  • the embodiment of the present invention combines face image verification with eye pattern verification and eye pattern image verification. The verification method is used to implement the user's core body, thereby improving the accuracy and reliability of the user's nucleus method, and ensuring the security of the user when using the application.
  • the embodiment of the present invention provides another user core method, as shown in FIG. 2, the method includes:
  • the preset storage location stores an eye patch template corresponding to different body objects.
  • the user needs to perform login authentication, or secure authentication such as payment authentication, the user sends a user core request to the client.
  • the method further includes: if the number of the eye pattern templates is less than the preset threshold, determining the current kernel mode as an eye pattern input mode; and transmitting, to the client, the eye pattern input mode
  • the face quality sub-threshold value and the eye pattern acquisition step number so that the client acquires a face image according to the face quality sub-threshold value and acquires an eye-pattern pair image corresponding to the number of the eye-pattern acquisition steps;
  • the eye line pair image is saved to the preset storage location as an eye pattern template corresponding to the preset core body object.
  • the current body mode is determined as the eye pattern input mode.
  • the client can record the eye pattern that meets the condition as the eye pattern template of the body object in real time, thereby realizing the accumulation of the eye pattern template, and when the number of eye pattern templates reaches a preset threshold, switching to the identity verification mode, thereby Further improve the accuracy and reliability of the user's core.
  • the current mode may specifically include an eye pattern collection mode, an identity verification mode, and the like, and the current mode is associated with the number of the eye pattern templates corresponding to the user saved in the preset storage location, which is not limited in the embodiment of the present invention.
  • the eye pattern collection mode the image quality of the collected face image is relatively high, so that the server can accumulate the eye pattern; in the authentication mode, the image quality of the face eye is normal. Because the server can perform eye pattern comparison through the previously accumulated eye pattern template.
  • the face quality threshold is used to indicate the quality of the face image collected by the client.
  • the eye collection time is different due to the larger number of eye pattern acquisition steps, so the number of eye pattern acquisition steps configured for different core modes is different.
  • the number of eye pattern acquisition steps can be relatively small; for the eye pattern collection mode, since the main purpose of the mode is to collect the eye pattern for the image as The eye pattern template accumulates, so the eye pattern acquisition steps can be configured to be relatively larger.
  • different eye pattern acquisition steps are configured according to different kernel modes, and the user's core body precision can be further improved.
  • the client obtains a face image according to the face quality threshold value and acquires an eye-pair image corresponding to the number of the eye-pattern acquisition steps.
  • the client can be configured on a mobile device having a camera and a microphone, including but not limited to a smartphone and a tablet, and the client can collect related images through the camera.
  • the server may specifically perform data transmission through a communication manner such as a mobile cellular network or a WIFI network, which is not limited in the embodiment of the present invention.
  • the pre-set face image may be a photo that is registered by the user on the public security network or a face photo that has passed through the user's nucleus, which is not limited in the embodiment of the present invention.
  • the preset eye pattern template may be a plurality of sets of eye pattern pairs that have passed the security verification.
  • the comparing the face image with the preset face image may specifically include: the face image and the preset person The face image is used as an input of the preset face algorithm, and the face ratio corresponding to the body object is obtained; the comparing the eye pattern to the preset eye pattern includes: The image and the eye pattern template corresponding to the body object are used as input of the preset eye pattern algorithm, and a plurality of eye mark living body points and eye line ratios corresponding to the number of the eye line collecting steps are obtained.
  • the pre-set face algorithm and the eye-pattern algorithm may be a convolutional neural network algorithm, a multi-layer neural network algorithm, and the like, which are not limited in the embodiment of the present invention.
  • the face ratio is used to reflect the degree of matching between the face image of the nucleus object and the preset face image.
  • the step 206 may include: sending the core to the client if the face ratio is divided, the plurality of eye marks are separated, and the eye pattern is more than a preset threshold. Successful information.
  • the success of the core is confirmed, thereby improving the accuracy and reliability of the user's nuclear method. .
  • the eye pattern template corresponding to the core body object can further ensure the accuracy of the eye pattern template corresponding to the core body object saved in the preset storage location, thereby further improving the accuracy of the user's core body method.
  • the specific application scenario process may be as shown in FIG. 10, but is not limited thereto.
  • the method may include: first, the server may obtain the number of the eye pattern templates corresponding to the nucleus object by the configured decision module FEArbitrator to be 10, which is greater than the preset template.
  • the threshold is 9, so that the current nucleus mode is determined to be the authentication mode Verify, and then the face quality threshold QT and the eye pattern acquisition step number corresponding to the authentication mode Verify are sent to the client. At this time, the client collects the face.
  • the face image is compared with the verified preset face image by a preset face algorithm to obtain a face image comparison FX, and the collected eye pattern is pre-prepared by a preset eye pattern algorithm.
  • the eye-pattern template is compared, and the eye-line living body is divided into LK and the eye-grain ratio is divided into MX. If FX is greater than or equal to the preset face-to-half threshold FT, LK is greater than or equal to the preset eye pattern.
  • the threshold threshold LT is obtained, and the MX is greater than or equal to the preset eye-pattern ratio halving threshold. Then, the core success information is sent to the client, and the preset eye pattern is updated according to the collected eye pattern. If the number of the eye pattern templates corresponding to the nucleus object is less than 9, the client is instructed to perform eye-pattern-to-image collection until the number of eye-pattern templates corresponding to the nucleus object is greater than or equal to 9, and the mode is switched to the identity verification mode.
  • the user core method provided by the embodiment of the present invention first receives the face image corresponding to the kernel object sent by the client and the eye pattern pair corresponding to the number of eye pattern acquisition steps when receiving the user's core request. And comparing the face image with the preset face image, and comparing the eye pattern to the preset eye pattern, if the face image and the eye pattern are If the comparison result meets the preset condition, the core success information is sent to the client.
  • the embodiment of the present invention combines face image verification with eye pattern verification and eye pattern image verification.
  • the verification method is used to implement the user's core body, thereby improving the accuracy and reliability of the user's nucleus method, and ensuring the security of the user when using the application.
  • the embodiment of the present invention provides another user core method. As shown in FIG. 3, the method includes:
  • the execution body of the embodiment of the present invention may be a client, and the client may be configured on a mobile device having a camera and a microphone, including but not limited to a smart phone and a tablet.
  • the client receives the user's request for account login, payment, etc., the face image corresponding to the nucleus object and the eye pattern pair corresponding to the number of eye pattern acquisition steps are collected, so that the server performs identity verification and payment identity verification on the user. Wait for security verification.
  • the server is caused to perform core verification on the core object.
  • the method may further include: the client performs pre-processing on the collected face image and the eye pattern, and the pre-processing may include: image optimization, image separation, image compression, and face image quality.
  • image optimization image separation
  • image compression image compression
  • face image quality image quality
  • the user core method provided by the embodiment of the present invention firstly collects a face image corresponding to the body object and an eye line pair image corresponding to the number of eye line collecting steps, and then sends the face image to the server and The eye line is paired with an image such that the server performs a body verification on the core object.
  • the embodiment of the present invention combines face image verification with eye pattern verification and eye pattern image verification.
  • the verification method is used to implement the user's core body, thereby improving the accuracy and reliability of the user's nucleus method, and ensuring the security of the user when using the application.
  • the embodiment of the present invention provides a user core method, as shown in FIG. 4, the method includes:
  • the execution body of the embodiment of the present invention may be a client, and the client may be configured on a mobile device having a camera and a microphone, including but not limited to a smart phone and a tablet.
  • the user requests an operation such as account login, payment, etc.
  • the user sends a user core request to the server, so that the server performs security verification such as identity verification, payment authentication, and the like.
  • the user's core request may carry the identification information of the user, so that the server extracts the preset face image of the user, the preset eye pattern, and the like for the user to perform the information of the user's nucleus.
  • the client can specifically communicate with the server through a mobile cellular network, a WIFI network, or the like. According to the transmission, the embodiment of the present invention is not limited.
  • the nucleus mode, the face quality threshold, and the eye pattern acquisition step refer to the explanation of the corresponding part of step 101, and details are not described herein again.
  • the client can obtain the face image of the current nucleus object and the image of the eye lining by using the preset camera, which is not limited in the embodiment of the present invention.
  • the preset eye pattern living condition is used to reflect the authenticity of the eye pattern to the image.
  • the preset eye pattern living condition before detecting the face image and the eye-pair image to the server, by detecting whether the image quality of the currently acquired face image is greater than or equal to the face quality threshold, And detecting whether the eye pattern conforms to the preset eye pattern living condition, can ensure the true accuracy of the image for the nuclear body sent to the server end, thereby ensuring the accuracy of the user's core body.
  • the server is caused to perform verification on the user.
  • the image is sent to the server, thereby ensuring the true accuracy of the image used for the kernel at the server end, and further Guarantee the accuracy of the user's body.
  • a user core method provided by the embodiment of the present invention firstly collects a face image corresponding to the body object and an eye pattern pair image corresponding to the number of eye pattern acquisition steps, and then sends the face image to the server and The eye line is paired with an image such that the server performs a body verification on the core object.
  • the embodiment of the present invention combines face image verification with eye pattern verification and eye pattern image verification.
  • the verification method is used to implement the user's core body, thereby improving the accuracy and reliability of the user's nucleus method, and ensuring the security of the user when using the application.
  • the embodiment of the present invention provides a server.
  • the server may include: a receiving unit 51, a comparing unit 52, and a sending unit 53.
  • the receiving unit 51 is configured to receive a face image corresponding to the kernel object sent by the client and an eye-pair image corresponding to the number of eye-collection steps;
  • the comparison unit 52 is configured to compare the face image with a preset face image, and compare the eye line pair image with a preset eye pattern template;
  • the sending unit 53 is configured to send the core success information to the client if the comparison result between the face image and the eye-to-image is consistent with a preset condition.
  • the device embodiment corresponds to the foregoing method embodiment.
  • the device embodiment does not describe the details in the foregoing method embodiments one by one, but it should be clear that the device in this embodiment can Corresponding to implementing all of the foregoing method embodiments.
  • a server provided by the embodiment of the present invention first receives a face image corresponding to a nuclear body object sent by a client and an eye-pattern pair image corresponding to the number of eye-collection steps, and then Comparing the face image with the preset face image, and comparing the eye pattern to the preset eye pattern, if the face image and the eye pattern are compared If the preset condition is met, the core success information is sent to the client.
  • the embodiment of the present invention combines face image verification with eye pattern verification and eye pattern image verification. The verification method is used to implement the user's core body, thereby improving the accuracy and reliability of the user's nucleus method, and ensuring the security of the user when using the application.
  • the embodiment of the present invention provides another server.
  • the server may include: a receiving unit 61, a comparing unit 62, a sending unit 63, and an acquiring unit. 64.
  • the receiving unit 61 is configured to receive a face image corresponding to the kernel object sent by the client and an eye-pair image corresponding to the number of eye-collection steps;
  • the comparison unit 62 is configured to compare the face image with a preset face image, and compare the eye line pair image with a preset eye pattern template;
  • the sending unit 63 is configured to send the core success information to the client if the comparison result of the face image and the eye pattern pair image meets a preset condition.
  • server further includes:
  • the obtaining unit 64 is configured to acquire, according to the user's core request, the number of eye pattern templates corresponding to the kernel object from the preset storage location, where the preset storage location stores eye lines corresponding to different body objects respectively template;
  • a determining unit 65 configured to determine the current mode as an identity verification mode if the number of the eye pattern templates is greater than or equal to a preset threshold
  • the sending unit 63 is further configured to send, to the client, a face quality sub-threshold value and an eye-grain collection step number corresponding to the identity verification mode, so that the client obtains the face image according to the face quality sub-threshold value and Obtaining an eye-pair image corresponding to the number of eye-collection steps.
  • the server further includes: a saving unit 66.
  • the determining unit 65 is further configured to determine the current nucleus mode as an eye pattern input mode if the number of the eye pattern templates is less than the preset threshold;
  • the sending unit 63 is further configured to send, to the client, a face quality sub-threshold value and an eye-grain collection step number corresponding to the eye pattern entry mode, so that the client obtains the face image according to the face quality sub-threshold value. And obtaining an eye-pair image corresponding to the number of the eye-pattern acquisition steps;
  • the saving unit 66 is configured to save the eye patch image as an eye patch template corresponding to the preset kernel object to the preset storage location.
  • comparison unit 62 is specifically configured to use the face image and the preset face image as input of a preset face algorithm, and obtain a face ratio corresponding to the body object;
  • the sending unit 63 is specifically configured to send a core to the client if the face ratio is divided, the plurality of eyeprints are separated, and the eyeprint ratio is greater than a preset threshold. Successful information.
  • server further includes:
  • the updating unit 67 is configured to update an eye patch template corresponding to the core object saved in the preset storage location according to an eye pattern collected by the client when confirming that the user is successful.
  • the device embodiment corresponds to the foregoing method embodiment.
  • the device embodiment does not describe the details in the foregoing method embodiments one by one, but it should be clear that the device in this embodiment can Corresponding to implementing all of the foregoing method embodiments.
  • Another server provided by the embodiment of the present invention when receiving the request of the user's nucleus, first receives the face image corresponding to the nucleus object sent by the client and the eye-pair image corresponding to the number of eye-collection steps, and then Comparing the face image with the preset face image, and comparing the eye pattern to the preset eye pattern, if the face image and the eye pattern are compared with the image If the preset conditions are met, the core success information is sent to the client.
  • the embodiment of the present invention combines face image verification with eye pattern verification and eye pattern image verification. The verification method is used to implement the user's core body, thereby improving the accuracy and reliability of the user's nucleus method, and ensuring the security of the user when using the application.
  • an embodiment of the present invention provides a client.
  • the client may include: an acquiring unit 71 and a sending unit 72.
  • the collecting unit 71 is configured to collect a face image corresponding to the body object and an eye line pair image corresponding to the number of eye line collecting steps;
  • the sending unit 72 is configured to send the face image and the eye-pair image to the server, so that the server performs core verification on the core object.
  • the device embodiment corresponds to the foregoing method embodiment.
  • the device embodiment does not describe the details in the foregoing method embodiments one by one, but it should be clear that the device in this embodiment can Corresponding to implementing all of the foregoing method embodiments.
  • a client provided by the embodiment of the present invention first collects a face image corresponding to the body object and an eye pattern pair corresponding to the number of eye pattern acquisition steps, and then sends the face image and the eye to the server.
  • An image is paired to cause the server to perform a body verification on the nuclear body object.
  • the embodiment of the present invention combines face image verification with eye pattern verification and eye pattern image verification.
  • the verification method is used to implement the user's core body, thereby improving the accuracy and reliability of the user's nucleus method, and ensuring the security of the user when using the application.
  • the embodiment of the present invention provides another client.
  • the client may include: an acquisition unit 81, a sending unit 82, a receiving unit 83, and detection. Unit 84.
  • the collecting unit 81 is configured to collect a face image corresponding to the body object and an eye line pair image corresponding to the number of eye line collecting steps;
  • the sending unit 82 is configured to send the face image and the eye-pair image to the server, so that the server performs core verification on the core object.
  • the client further includes: a receiving unit 83;
  • the sending unit 82 is further configured to send a user core request to the server;
  • the receiving unit 83 is configured to receive a face quality threshold value and an eye pattern collection step number corresponding to the current nucleus mode sent by the server;
  • the collecting unit 81 is configured to acquire a face image corresponding to the core body object according to the face quality threshold value, and acquire an eye patch image corresponding to the number of the eye pattern collecting steps.
  • the client further includes: a detecting unit 84;
  • the detecting unit 84 is configured to detect whether the image quality of the currently acquired face image is greater than or equal to the face quality sub-threshold value
  • the sending unit is specifically configured to: if yes, send the face image to the server.
  • the detecting unit 84 is further configured to detect whether the eye line pair image conforms to a preset eye pattern living condition
  • the sending unit 81 is specifically configured to send the eye patch object map to the server if it matches.
  • the device embodiment corresponds to the foregoing method embodiment.
  • the device embodiment does not describe the details in the foregoing method embodiments one by one, but it should be clear that the device in this embodiment can Corresponding to implementing all of the foregoing method embodiments.
  • Another client provided by the embodiment of the present invention first collects a face image corresponding to the body object and an eye line pair image corresponding to the number of eye line acquisition steps, and then sends the face image to the server and the The eye is aligned to the image such that the server performs a body verification on the nucleus object.
  • the embodiment of the present invention combines eye image verification with eye image verification and eye image verification.
  • the dimension verification method is used to implement the user's core body, thereby improving the accuracy and reliability of the user's core method, and ensuring the security of the user when using the application.
  • an embodiment of the present invention provides a user core system.
  • the user core system includes: a server 91 and a client 92.
  • the server 91 is configured to send, to the client, a face quality sub-threshold value and an eye-grain collection step number corresponding to the current nucleus mode when receiving the user's nucleus request;
  • the client 92 is configured to acquire a face image according to the face quality threshold and obtain an eye-pair image corresponding to the number of eye-collection steps;
  • the server 91 is further configured to receive a face image sent by the client and an eye-pair image corresponding to the number of eye-collection steps; compare the face image with a preset face image, and compare The eye pattern compares the image with the preset eye pattern template; if the comparison result of the face image and the eye pattern to the image meets the preset condition, the core success information is sent to the client.
  • system embodiment corresponds to the foregoing method embodiment.
  • embodiment of the system does not describe the details in the foregoing method embodiments one by one, but it should be clear that the system in this embodiment can Corresponding to implementing all of the foregoing method embodiments.
  • a user core system provided by the embodiment of the present invention first receives a client when receiving a request from a user's body. a face image corresponding to the body object sent by the end and an eye line pair image corresponding to the number of eye pattern acquisition steps, and then comparing the face image with the preset face image, and comparing the eye pattern to the image Comparing with the preset eye pattern template, if the comparison result of the face image and the eye pattern to the image meets a preset condition, the core success information is sent to the client.
  • the embodiment of the present invention combines face image verification with eye pattern verification and eye pattern image verification. The verification method is used to implement the user's core body, thereby improving the accuracy and reliability of the user's nucleus method, and ensuring the security of the user when using the application.
  • the user nucleus device includes a processor and a memory, each of which is stored as a program unit in a memory, and the processor executes the program unit stored in the memory to implement a corresponding function.
  • the processor contains a kernel, and the kernel removes the corresponding program unit from the memory.
  • the kernel can be set to one or more, and the kernel parameters can be adjusted to solve the problem of low accuracy of the existing user's nucleus method.
  • the memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory (flash RAM), the memory including at least one Memory chip.
  • RAM random access memory
  • ROM read only memory
  • flash RAM flash memory
  • the application also provides a computer program product, when executed on a data processing device, adapted to perform initialization of program code having the following method steps:
  • a server configured to send, to the client, a face quality threshold value and an eye line collection step number corresponding to the current body mode when receiving the user core request;
  • a client configured to acquire a face image according to the face quality threshold and obtain an eye-pair image corresponding to the number of eye-collection steps;
  • the server is further configured to receive a face image sent by the client and an eye-pair image corresponding to the number of eye-collection steps; compare the face image with a preset face image, and compare the The eye pattern compares the image with the preset eye pattern template; if the comparison result of the face image and the eye pattern to the image meets the preset condition, the core success information is sent to the client.
  • embodiments of the present application can be provided as a method, system, or computer program product.
  • the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment in combination of software and hardware.
  • the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.
  • the computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device.
  • the apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.
  • These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device.
  • the instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.
  • a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
  • processors CPUs
  • input/output interfaces network interfaces
  • memory volatile and non-volatile memory
  • the memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory.
  • RAM random access memory
  • ROM read only memory
  • Memory is an example of a computer readable medium.
  • Computer readable media includes both permanent and non-persistent, removable and non-removable media.
  • Information storage can be implemented by any method or technology.
  • the information can be computer readable instructions, data structures, modules of programs, or other data.
  • Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transportable media can be used to store information that can be accessed by a computing device.
  • computer readable media does not include temporary storage of computer readable media, such as modulated data signals and carrier waves.

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  • General Health & Medical Sciences (AREA)
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Application Number Priority Date Filing Date Title
MYPI2019000894A MY193941A (en) 2016-08-24 2017-08-11 User identity verification method, apparatus and system
ES17842812T ES2879682T3 (es) 2016-08-24 2017-08-11 Método, aparato y sistema de verificación de identidad de usuario
AU2017314341A AU2017314341B2 (en) 2016-08-24 2017-08-11 User identity verification method, apparatus and system
CA3034612A CA3034612C (en) 2016-08-24 2017-08-11 User identity verification method, apparatus and system
PL17842812T PL3506589T3 (pl) 2016-08-24 2017-08-11 Sposób, urządzenie i układ do weryfikacji tożsamości użytkownika
JP2019510864A JP6756037B2 (ja) 2016-08-24 2017-08-11 ユーザ本人確認の方法、装置及びシステム
SG11201901519XA SG11201901519XA (en) 2016-08-24 2017-08-11 User identity verification method, apparatus and system
EP17842812.4A EP3506589B1 (en) 2016-08-24 2017-08-11 User identity verification method, apparatus and system
KR1020197007983A KR102084900B1 (ko) 2016-08-24 2017-08-11 사용자 신원 검증 방법, 장치 및 시스템
US16/282,102 US10467490B2 (en) 2016-08-24 2019-02-21 User identity verification method, apparatus and system
PH12019500383A PH12019500383B1 (en) 2016-08-24 2019-02-22 User identity verification method, apparatus and system
ZA2019/01506A ZA201901506B (en) 2016-08-24 2019-03-11 User identity verification method, apparatus and system
US16/587,376 US10997443B2 (en) 2016-08-24 2019-09-30 User identity verification method, apparatus and system
AU2019101579A AU2019101579A4 (en) 2016-08-24 2019-12-13 User identity verification method, apparatus and system

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US20190188509A1 (en) 2019-06-20
US10467490B2 (en) 2019-11-05
CA3034612A1 (en) 2018-03-01
PH12019500383B1 (en) 2019-10-28
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MY193941A (en) 2022-11-02
AU2017314341A1 (en) 2019-03-14
TW202026984A (zh) 2020-07-16
US10997443B2 (en) 2021-05-04
KR20190038923A (ko) 2019-04-09
SG11201901519XA (en) 2019-03-28
TWI687879B (zh) 2020-03-11
ZA201901506B (en) 2020-08-26
EP3506589A4 (en) 2020-04-01
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AU2017314341B2 (en) 2020-05-07
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JP2019525358A (ja) 2019-09-05
ES2879682T3 (es) 2021-11-22
TWI752418B (zh) 2022-01-11
US20200026940A1 (en) 2020-01-23
AU2019101579A4 (en) 2020-01-23
TW201807635A (zh) 2018-03-01
CA3034612C (en) 2020-07-14

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