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Cancelable color face recognition using trinion gyrator transform and randomized nonlinear PCANet

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Abstract

For the analysis of color images, the single-channel processing method fails to consider the internal correlation between color components, while the quaternion matrix representation is not compact enough. To avoid these, this paper introduces trinion gyrator transform for color face image and develop a cancelable recognition scheme by jointing with randomized nonlinear PCANet. Firstly, color face images are precoded into trinion matrices and followed by a random binary amplitude mask for non-reversible. The nonlinear trinion correlation is proposed for selecting the optimal ratio. Next, the sampled matrix is modulated by using trinion gyrator transform and logistic-based random phase mask for increasing discriminability. Afterwards, the randomized nonlinear principal component analysis network is employed for extracting features. The recognition accuracy of the proposed algorithm on VIS, Aberdeen, GT and YMU datasets are up to 99.00%, 99.23%, 99.68% and 97.88%, which outperforms several existed methods. On top of that, the correlation index of generated face templates is no more than 0.26, indicating the revocability and security of the proposal.

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Data availability

The data are available from the corresponding author on reasonable request.

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Acknowledgements

This work was supported by Research Fund of Guangxi Key Lab of Multi-source Information Mining & Security (MIMS23-08), Science and Technology Innovation Talent Project of Education Department of Henan Province (No. 23HASTIT030) and Scientific Research Project of Education Department of Jilin Province (JJKH20240586KJ). The authors would like to greatly appreciate the reviewers’ valued comments and suggestions which have improved this article.

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Authors and Affiliations

  1. Guangxi Key Lab of Multi-Source Information Mining & Security, Guangxi Normal University, Guilin, 541004, China

    Zhuhong Shao

  2. Capital Normal University, Beijing, 100048, China

    Zhuhong Shao, Xue Wang & Yuanyuan Shang

  3. School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou, 450007, China

    Bicao Li

  4. Chinese PLA General Hospital, Beijing, 100853, China

    Yu Zhang

  5. School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, 411201, China

    Junlin Ouyang

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  1. Zhuhong Shao
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Correspondence to Zhuhong Shao.

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Shao, Z., Wang, X., Li, B. et al. Cancelable color face recognition using trinion gyrator transform and randomized nonlinear PCANet. Multimed Tools Appl 83, 61435–61449 (2024). https://doi.org/10.1007/s11042-023-17905-2

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