An analysis on accuracy of cancelable biometrics based on BioHashing

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Abstract

Cancelable biometrics has been proposed for canceling and re-issuing biometric templates and for protecting privacy in biometrics systems. Recently, new cancelable biometric approaches are proposed based on BioHashing, which are random transformed feature-based cancelable biometrics. In this paper, we consider the accuracy of one of the cancelable biometrics based on BioHashing and face. Through this analysis, as an illustration, we would like to raise an issue to be considered in cancelable biometrics: accuracy may be traded for biometrics being cancelable. © Springer-Verlag Berlin Heidelberg 2005.

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Cheung, K. H., Kong, A., Zhang, D., Kamel, M., You, J., Toby, & Lam, H. W. (2005). An analysis on accuracy of cancelable biometrics based on BioHashing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 1168–1172). Springer Verlag. https://doi.org/10.1007/11553939_162

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