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Long sequence biometric hashing authentication based on 2D-SIMM and CQCC cosine values

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Abstract

The existing speech authentication algorithms hash extracted speech features directly and saved them to the cloud, which is easy to cause speech feature leakage. In the process of constructing hashing, the utilization efficiency of speech feature is poor, and the short hashing sequence will lead to the lack of discrimination of hashing sequence and the deviation of authentication. In order to solve the above problems, a long sequence biometric hashing authentication algorithm based on two-dimensional Sine ICMI Cmodulation map (2D-SIMM) and constant Q cepstral coefficients (CQCC) cosine was proposed. First, this algorithm extracts the CQCC of the speech signal, then obtains the eigenvalue of the space cosine distance of the adjacent speech frame CQCC, and finally performs projection mapping between the eigenvalue and the pseudorandom matrix generated by 2D-SIMM to construct a biometric hashing sequence. This paper evaluates the proposed robust feature schemes of MFCC and CQCC space cosine distance through experiments. The experimental results show that CQCC spatial distance combined with 2D-SIMM biometrics characteristics can reach \(10^{-21}\). when the threshold is 0.35. The BER mean was only 0.0383 for maintaining the robustness of operation for different contents. When the SNR is -5 dB, the matching rate of different noises can reach 45%. At the same time, it also improves the security of the biological template, and the overall performance is greatly improved compared with the existing algorithm.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant 61862041 and Youth Science and Technology Fund of Gansu Province of China under Grant 1606RJYA274.

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Authors and Affiliations

  1. College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, 730070, China

    Yi-bo Huang, Hexiang Hou, Tengfei Chen & Hao Li

  2. School of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, China

    Qiu-yu Zhang

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  1. Yi-bo Huang
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  2. Hexiang Hou
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  3. Tengfei Chen
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  4. Hao Li
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  5. Qiu-yu Zhang
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Huang, Yb., Hou, H., Chen, T. et al. Long sequence biometric hashing authentication based on 2D-SIMM and CQCC cosine values. Multimed Tools Appl 81, 2873–2899 (2022). https://doi.org/10.1007/s11042-021-11708-z

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  • DOI: https://doi.org/10.1007/s11042-021-11708-z

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