Biometric Authentication Using Dynamic Speech and Face Association
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Solution Overview
Problem
Conventional biological feature recognition technologies are undiversified, leading to high false authentication rates due to ease of fake or counterfeit voiceprints, which compromises network security.
Innovation Solution
A user biological feature authentication method that combines speech information and face image authentication using a dynamic speech password, where the speech information fragment is associated with the face image, and a digest value is calculated using a preset algorithm to ensure real-time and secure authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voiceprint authentication is used alone, then the authentication process is simple, but the false authentication rate increases due to ease of fake or counterfeit voiceprints
Solution Approach 1:
The patent combines voiceprint authentication with face image authentication into a unified multi-modal system. The authentication module integrates both voice and visual biometric verification, requiring both modalities to be satisfied for successful authentication. This merging approach maintains operational simplicity while significantly improving reliability by making counterfeit attacks much more difficult.
Solution Approach 2:
The authentication system uses a composite approach by combining two different biometric modalities (acoustic voiceprint and visual face image) into a single authentication mechanism. This composite verification method leverages the strengths of both modalities while compensating for their individual weaknesses, creating a more robust security system that is resistant to spoofing.
2Reliability
If multiple biological features are authenticated simultaneously, then the security is improved, but the device complexity increases
Solution Approach 1:
The authentication module is designed as a universal component that handles multiple biometric modalities through a unified interface and processing pipeline. The system uses a single authentication module that can process both voice and face data, applying the same verification logic and threshold evaluation regardless of which modality is used. This multi-functional design improves security through multi-modal verification while minimizing the increase in device complexity by avoiding separate dedicated hardware for each biometric type.
3Reliability
If speech information is dynamically generated and associated with face image, then the authentication reliability is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-generating speech passwords and pre-acquiring face images before the actual authentication event. The speech password is generated in advance and stored, and the face image is captured and processed beforehand. During authentication, the system simply compares the live input against these pre-prepared data, significantly reducing the actual authentication time while maintaining high reliability through the use of dynamically generated and associated biometric data.
Data Source
AI summary
The disclosure discloses a user biological feature authentication method and system. The method includes the following: a client sends an authentication request to a server; the client receives a speech password; acquires speech information and a face image of a user to be authenticated; the client judges whether the speech information is the same as the speech password, and judges whether the face image is valid; the client associates a speech information fragment to the face image under the condition that a judgment result is YES; the client calculates a digest value of the speech password, the speech information, a target image, associated information and a first moment; and the client sends an authentication content to the server. By the disclosure, the effect of improving ID authentication security in a biological feature recognition process is further achieved.