Self-service method, system and terminal for user biological feature recognition

By analyzing and updating the type of occlusion area, combined with random deletion and repair strategies, the problem of difficulty in occluding face image recognition is solved, and efficient and accurate recognition effect is achieved.

CN119693988APending Publication Date: 2025-03-25STATE GRID GRID GANSU ELECTRIC POWER CO QINGYANG POWER SUPPLY CO +1
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Patent Information

Application Number
CN202510141014.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-08
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

In the recognition of facial image blocking, the existing technology enhances the instability of local feature recognition strategies, and repairs the entire facial image recognition strategy with high computing power demand, resulting in a lack of a solution that takes into account the accuracy and timeliness of facial recognition.

Method used

By analyzing the historical data of face recognition, the identity recognition accuracy of the occlusion area type is counted. When the accuracy is lower than the threshold, the occlusion area type is randomly deleted, and then the accuracy is recognized again after update, until the accuracy above the threshold is reached. Then the face image is repaired according to the deleted area type identification to perform the final identification.

Benefits of technology

It reduces the computing power demand, improves processing efficiency, ensures identification accuracy, and achieves technical effects that take into account both accuracy and timeliness in the case of occlusion.

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Abstract

The invention relates to a self-service method, system and terminal for user biological feature recognition, and relates to the field of identity authentication, and the method comprises the steps: obtaining a face image; when there is shielding, performing statistics on a first identity recognition accuracy rate satisfying a shielding region type in the face recognition historical data; when the accuracy is less than or equal to the accuracy threshold, randomly deleting the occlusion region type to obtain an updated occlusion region type; counting a second identity recognition accuracy rate meeting the updated shielding region type in the face recognition historical data; and when the accuracy is greater than the accuracy threshold, repairing the face image according to the deletion region type identifier, and obtaining identity information after obtaining the repaired face image and carrying out face recognition on the repaired face image. The technical problem that in the prior art, for shielded face image recognition, due to the fact that an enhanced local feature recognition strategy is unstable and the requirement for the computing power of repairing the whole face image recognition strategy is large, a shielded face recognition scheme giving consideration to the face recognition accuracy and timeliness at the same time lacks exists is solved.
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