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Fusing structure and color features for cancelable face recognition

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Abstract

Face-based biometric recognition is widely used nowadays, where substantial face images are commonly stored on third-party servers. Since the sensitive information of an individual is contained in facial image such as the age and health condition, it is necessary to protect its privacy and security. This paper investigates a cancelable color face template protection algorithm. To make full use of quaternion representation, the structural information including local variance and gradient is respectively served as the real part. To achieve revocability and ability to redistribute, the strategy of random permutation with binary matrix is adopted. Afterwards, the quaternion-based two-dimensional principal component analysis is employed to extract features. With them, the extreme learning machine can be trained and used for recognition. Experimental results performed on four different color face datasets have demonstrated that the fusion of structural information can greatly improve the accuracy. More importantly, the random permutation not only does not reduce the recognition accuracy, but also guarantees the security and revocation of face template.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (61876112, 61601311, 61901537), Beijing Natural Science Foundation (L201022) Project of Beijing Excellent Talents (2016000020124G088) and Beijing Municipal Education Research Plan Project (SQKM201810028018).

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Authors and Affiliations

  1. College of Information Engineering, Capital Normal University, Beijing, 100048, China

    Zihan Xu, Zhuhong Shao, Yuanyuan Shang, Hui Ding & Tie Liu

  2. Beijing Advanced Innovation Center for Imaging Technology, Beijing, 100048, China

    Yuanyuan Shang

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

    Bicao Li

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  1. Zihan Xu
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  2. Zhuhong Shao
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  3. Yuanyuan Shang
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  5. Hui Ding
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  6. Tie Liu
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Correspondence to Zhuhong Shao.

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Xu, Z., Shao, Z., Shang, Y. et al. Fusing structure and color features for cancelable face recognition. Multimed Tools Appl 80, 14477–14494 (2021). https://doi.org/10.1007/s11042-020-10234-8

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