A multimodal biometric fusion device

Abstract

The invention discloses a multi-modal biological feature fusion device, whose structure includes a biological feature acquisition unit, a feature parameter extraction unit, a parameter normalization processing unit, a feature parameter fusion unit, and a biological feature recognition unit, which is similar to the prior art In contrast, the beneficial effects of the present invention are: the acquisition of five biometric features can be combined into ten groups of combined biometric features, any set of identification can be performed, the verification of a single biometric feature can be avoided, the security and accuracy of identification can be improved, and it can prevent partial The biometric feature is damaged and cannot be recognized, which leads to the failure of identification, providing more choices for identification. After fingerprint collection, use the sticky surface of transparent tape to remove the fingerprint, so that there is no fingerprint on the surface of the fingerprint sensor to prevent dust. The indirect infection of nails can ensure the cleanliness of the surface of the fingerprint sensor, which is conducive to the next fingerprint collection and helps to improve the accuracy of fingerprint collection and identification.

Description

technical field [0001] The invention relates to the technical field of biometric feature recognition, in particular to a multimodal biometric feature fusion device. Background technique [0002] Biometric identification technology is the most convenient and safe technology for personal identification through face features, fingerprint features, vein features, palmprint features, voiceprint features and even iris features, and is easy to cooperate with computers and security and monitoring , management system integration, and automatic management, which are widely used. However, with the emergence of high-tech means such as simulated headgear, holographic projection, and face tracking, the method of using a single biometric feature for identification and authentication is inaccurate and safe. The sensitivity has been greatly reduced, so multimodality is an inevitable trend of biometrics. [0003] The current multi-modal biometric technology is fused by acquiring two or more ...

AI Technical Summary

Problems solved by technology

[0002] Biometric identification technology is the most convenient and safe technology for personal identification through face features, fingerprint features, vein features, palmprint features, voiceprint features and even iris features, and is easy to cooperate with computers and security and monitoring , management system integration, and automatic management, which are widely used. However, with the emergence of high-tech means such as simulated headgear, holographic projection, and face tracking, the method of using a single biometric feature for identification and authentication is inaccurate and safe. The accuracy has been greatly reduced, so multi-modality is an inevitable trend of biometrics

[0003] The current multi-modal biometric technology is fused by acquiring two or more biometric features, so that when verifying, only two or more biometric features obtained can be used for identification and verification. If two or more biometric features One of the features is damaged, which will lead to the failure of the total identity verification, such as successful fingerprint recognition, but the facial feature recognition fails due to changes in the face due to makeup, injury, etc., so the identity verification fails. Certain limitations;

[0004] In addition, among biometric features, fingerprint features are the most widely used, so the probability of fingerprint feature identification will be higher than other biometric features. Because the finger needs to be in contact with the surface of the fingerprint sensor during fingerprint collection, it will cause the fingerprint to be printed on the surface of the fingerprint sensor. If there is onychomycosis, it will lead to indirect infection, and the residual fingerprints will affect the subsequent fingerprint collection to a certain extent, which will greatly reduce the accuracy of fingerprint collection, resulting in the failure of fingerprint recognition or repeated fingerprint collection

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