The invention discloses a mMulti-mode biological feature fusion method and device

Abstract

The embodiment of the invention provides a multi-mode biological feature fusion method and device, and relates to the field of artificial intelligence. According to the embodiment of the invention, the identity of the to-be-identified user can be identified by using various biological characteristics. The method comprises the following steps: acquiring at least two biological characteristics of ato-be-identified user; R; respectively extracting characteristic parameters of biological characteristics contained in the at least two biological characteristics; P; performing normalization processing on the characteristic parameters of the biological characteristics contained in the at least two biological characteristics; carrying out weighted fusion on the characteristic parameters of the normalized biological characteristics to generate fusion characteristic parameters; and according to the fusion feature parameters, identifying the identity of the to-be-identified user by using a convolutional neural network. The method is applied to biological recognition.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a multimodal biometric feature fusion method and device. Background technique [0002] At present, with the continuous development of information technology, biometric joint identification technology has been widely used in personal identification and authentication in financial payment and other fields. But in fact, the method of using a single biometric feature for identification and authentication has many deficiencies in terms of accuracy, security, and the like. For example, when the face changes due to makeup, injury, etc., or the voice is affected by environmental noise, the accuracy of recognition will be affected. In addition, the emergence of high-tech means such as artificial headgear, holographic projection, and face tracking has also seriously affected the security of single biometric joint identification technology. Contents of the invention [000...

AI Technical Summary

Problems solved by technology

But in fact, the method of using a single biometric feature for identification and authentication has many deficiencies in terms of accuracy and security.

For example, when the face changes due to makeup, injury, etc., or the sound is affected by environmental noise, etc., the accuracy of recognition will be affected

In addition, the emergence of high-tech means such as artificial headgear, holographic projection, and face tracking has also seriously affected the security of single biometric joint identification technology.

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