Abstract
With the widespread deployment of biometric recognition, personal data security and privacy are attracted more and more attentions. A crucial privacy issue is how to ensure the security of user template. This paper proposes a novel template protection algorithm for face recognition based on chaotic map. Each face template is corresponding to different chaotic sequence produced by system master key and user identification number. The order of chaotic sequence controls the substitution index of face template. Experiment results on facial FERET database show that our algorithm can significantly improve the recognition performance and ensure the security of face template.
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Acknowledgments
This work is supported by the National Science Foundation of China (nos. 61201399, 61501176, 61601174), and Startup Fund for Doctor of Heilongjiang University.
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Dong, J., Meng, X., Chen, M., Wang, Z., Tang, L. (2017). Template Protection Based on Chaotic Map for Face Recognition. In: Zou, B., Li, M., Wang, H., Song, X., Xie, W., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 727. Springer, Singapore. https://doi.org/10.1007/978-981-10-6385-5_21
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DOI: https://doi.org/10.1007/978-981-10-6385-5_21
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