Recognition system and method of operation thereof

By projecting different types of detection light multiple times to acquire spectral and image information, and combining the processing results for liveness detection and object recognition, the problem of fingerprint recognition being forged in winter conditions in existing biometric systems has been solved, thus improving the security and accuracy of the system.

CN116266409BActive Publication Date: 2026-07-07BEIJING SEETRUM TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING SEETRUM TECH CO LTD
Filing Date
2021-12-16
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Existing biometric systems have shortcomings in liveness detection, especially in winter conditions. Image processing-based methods cannot effectively identify fingers with insufficient perspiration, allowing forged fingerprints to bypass system security.

Method used

By projecting different types of detection light multiple times, spectral and image information of the target object is acquired, and this information is used for liveness detection and object recognition. Specifically, the method involves projecting a first detection light to generate spectral and image information, projecting a second detection light to generate second spectral information, and combining the two for liveness detection and object recognition.

Benefits of technology

It improves the accuracy and security of liveness detection and object recognition, and enhances the anti-counterfeiting capabilities of biometric systems, especially under winter conditions.

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Abstract

The present application relates to an identification system and a working method thereof, wherein the identification system obtains spectral information and image information of a target to be detected by multiple times of projecting detection light, and uses the spectral information and image information obtained by multiple times of projection to improve the accuracy of living body detection and object identification. In particular, in some examples of the present application, the multiple times of projected detection light are different types of detection light.
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