Multimodal biometric fusion method, device, storage medium and equipment

Through the multimodal biometric fusion method, the factor information of face and iris characteristics is analyzed and fused, and the problem of reduced recognition success rate and misidentification risks caused by inconsistency between environment and equipment is solved, and higher identity authentication security and recognition success rate are achieved.

CN113553890BActive Publication Date: 2025-03-18EYECOOL SHENZHEN TECH CO LTD +2
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Patent Information

Application Number
CN202010339599.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2020-04-26
Publication Date
2025-03-18
Estimated Expiration
2040-04-26

AI Technical Summary

Technical Problem

In the prior art, in the face/irida recognition process, inconsistency between the environment and the equipment leads to a decrease in the recognition success rate, and the dynamic template fusion method can easily lead to misidentification and increase the risk of misidentification.

Method used

The multimodal biometric fusion method is adopted to analyze the feature information by acquiring multiple biometric features of the same user (such as face features and iris features), and fusing is performed only when specific differences and similarity conditions are met to ensure that the fused biometric template is safe and accurate.

Benefits of technology

It improves the diversity and information richness of biometric templates, enhances the security of identity authentication and recognition success rate in different devices and environments, and avoids the risk of misidentification.

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Abstract

The present invention discloses a multimodal biometric fusion method, device, storage medium and equipment, which belong to the field of biometric identification. The present invention obtains two biometrics of the same user and identifies them respectively, and obtains element information that affects the identification after both are successfully identified. When the difference between the element information of one biometric and the biometric template exceeds a set degree, and the similarity between another biometric and the corresponding biometric template is higher than a preset threshold and / or the element information of the two biometrics is partially or completely the same, the biometric and the biometric template are fused. The preset threshold is higher than the similarity required for the successful identification of another biometric. The present invention uses biometrics from different data sources that meet the requirements to fuse the biometric template, which increases the diversity of the biometric template and avoids integrating misidentified biometrics into the original biometric template, ensuring that the fused biometric template is safe and accurate.
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