Identity authentication method fusing user multi-source sound production characteristics, storage medium and equipment

Abstract

The invention discloses an identity authentication method fusing user multi-source sound production characteristics, a storage medium and equipment. The method comprises the following steps: constructing a sensing terminal; designing a transceiving protection mechanism, adding dynamic random noise during signal transmission in a label communication process of an RFID reader-writer and the sensingterminal, eliminating the noise and recovering a label EPC during signal receiving, and judging whether a sensing signal is true or false; identifying a user voice command, and if the user voice command contains a keyword, determining to enter a next step or reject the request and end according to whether the sensing terminal tag EPC can be correctly recovered; performing noise reduction and voiced part detection on the voice signal, converting the voice signal into a time-frequency spectrogram, extracting radio frequency signal phase information and preprocessing the radio frequency signal phase information; and simultaneously inputting the processed voice and radio frequency sensing data into a neural network through two branches, and carrying out user identity authentication. Based on the realization of voice and radio frequency technologies, the system can be ensured to be safe and credible, and relatively high application value, social significance and development potential are achieved.

Description

Technical field[0001]The invention belongs to the technical field of radio frequency identification (RFID) and voice authentication, and in particular relates to an identity authentication method, storage medium and equipment that integrates the multi-source voice features of users.Background technique[0002]In real life, most access control systems use radio frequency identification cards to authenticate users. However, radio frequency identification is a non-user binding authentication method, and the card itself and the radio frequency signal face security risks such as loss, theft, tampering and duplication (replay). In recent years, fingerprint, face, and voice authentication technologies have been continuously developed and mature, and relying on better convenience and security, they have been adopted by more access control systems.[0003]However, in the face of certain special application scenarios, especially infectious public health events, fingerprint authentication will dir...

AI Technical Summary

Problems solved by technology

[0003] However, in the face of some special application scenarios, especially contagious public health events, fingerprint authentication will directly lead to the risk of infection; face authentication will affect the accuracy of authentication due to the user wearing a mask to cover the face, and there is still a problem of privacy leakage; although voice authentication can Avoid the above-mentioned similar problems, but when the user speaks, the voice command is easily recorded by the attacker and initiates a replay attack, and the cost of implementing a voice replay attack is low, and does not require highly specialized equipment and technical requirements

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