Fingerprint identity authentication, live body detection method, system and device

By requiring users to complete random finger movements and analyzing image series in contactless fingerprint authentication, and utilizing a liveness detection model, the problem of forgery attacks in contactless fingerprint authentication is solved, achieving efficient liveness detection and secure authentication.

CN122336809APending Publication Date: 2026-07-03ANT BLOCKCHAIN TECHNOLOGY (SHANGHAI) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ANT BLOCKCHAIN TECHNOLOGY (SHANGHAI) CO LTD
Filing Date
2026-02-27
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing contactless fingerprint authentication solutions lack effective liveness detection methods, making it difficult to distinguish between forgery attacks such as photos, fake fingerprints, and video playback. Furthermore, they are highly dependent on the environment and cannot cover biomechanical feature verification, resulting in a conflict between user experience and security.

Method used

By requiring users to complete randomly indicated finger movements before contactless fingerprint authentication, and using a camera to capture a series of images, the system analyzes the finger movement characteristics using a pre-set liveness detection model to achieve liveness detection.

Benefits of technology

It effectively reduces the risk of forgery attacks, such as attacks using photos, pre-recorded videos, and 3D-printed fingerprint models, improves the accuracy and security of liveness detection, and optimizes the user experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

This specification provides a fingerprint authentication and liveness detection method, system, and device. In this method, in response to a user-triggered fingerprint authentication operation, a randomly generated finger movement command is output; based on a sequence of finger images captured by a camera after the finger movement command is output, a preset liveness detection model is used to identify whether the finger movement command is executed by a live finger; if the finger movement command is executed by a live finger, liveness detection is confirmed to be successful; after successful liveness detection, fingerprint authentication is performed on the user based on the finger images captured by the camera.
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