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Feature information-based user verification method and apparatus

A technology of feature information and user verification, applied in the field of identity recognition, can solve the problem of misidentification of similar faces that cannot be solved from the root cause

Active Publication Date: 2017-12-19
ADVANCED NEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, with the widespread application of face recognition technology, the user base using face recognition technology has also expanded rapidly, resulting in a rapid increase in the number of users with similar looks, which makes it difficult to use shielding methods to avoid misidentification. Execution in practical application
In addition, the use of masking methods cannot fundamentally solve the problem of misidentification of similar faces

Method used

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  • Feature information-based user verification method and apparatus
  • Feature information-based user verification method and apparatus
  • Feature information-based user verification method and apparatus

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specific Embodiment 1

[0132] In this embodiment, the feature information is a face feature, then the reference feature information is a reference face feature, and the sample feature information is a sample face feature.

[0133]First, step S202 is executed to select two sample users A and B, each sample user corresponds to a reference face feature and a sample face feature. Assume that the sample user A corresponds to the reference facial feature A1 and the sample facial feature A2, and the sample user B corresponds to the reference facial feature B1 and the sample facial feature B2.

[0134] Then execute step S204, for the sample user A, calculate the similarity between the sample face feature A2, the reference face feature A1, and the reference face feature B1; and, for the sample user B, calculate the sample face feature B2 and the reference face feature B2 respectively The similarity between face feature A1 and reference face feature B1.

[0135] Then execute step S206, for the sample user A,...

specific Embodiment 2

[0137] In this embodiment, the feature information is a face feature, then the reference feature information is a reference face feature, and the sample feature information is a sample face feature.

[0138] First, step S202 is executed to select two sample users A and B, each sample user corresponds to a reference face feature and three sample face features. Assume that sample user A corresponds to benchmark face feature A1, sample face feature A2, sample face feature A3, and sample face feature A4, and sample user B corresponds to benchmark face feature B1, sample face feature B2, and sample face feature B3 , Sample face feature B4.

[0139] Then execute step S204, for the sample user A, respectively calculate the similarity between the sample face feature A2 and the reference face feature A1, and the reference face feature B1; and calculate the sample face feature A3 and the reference face feature A1, reference The similarity of the facial feature B1; and, calculating the ...

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Abstract

One or more embodiments of the invention disclose a feature information-based user verification method and apparatus, which is used for improving the accuracy and coverage rate of user verification. The method comprises the steps of judging whether a to-be-verified user belongs to a similar user group or not, wherein the similar user group comprises at least two similar users, and the similar users are users with standard feature information meeting a preset similar condition and a preset distinguishable condition; and if the to-be-verified user belongs to the similar user group, verifying the to-be-verified user according to the standard feature information in the similar user group.

Description

technical field [0001] This specification relates to the technical field of identification, and in particular to a method and device for user verification based on characteristic information. Background technique [0002] Face recognition, as a recognition technology with good user experience, has been more and more widely used in many scenarios. The principle of face recognition is to collect the face image of the target user and extract the image features, then compare and identify the image features with the pictures or image features of the target user stored in the system, and determine the authenticity of the user by comparing the results sex. [0003] However, the existing face recognition technology cannot achieve 100% accuracy. For example, when targeting the special situation of similar faces (such as egg twins, father and son, mother and daughter or "star faces", etc.), errors will occur. This kind of misidentification often brings troubles to users in life or w...

Claims

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Application Information

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IPC IPC(8): G06F21/32G06V10/771
CPCG06F21/32G06V40/172G06V40/168G06F18/22G06V10/771G06V10/7796G06F18/2115H04L63/0861G06V40/165G06F18/2193
Inventor 江南郭明宇
Owner ADVANCED NEW TECH CO LTD
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