EURASIP Journal on Advances in Signal Processing
Biometrics-based identifiers for digital identity management
Proceedings of the 9th Symposium on Identity and Trust on the Internet
A performance driven methodology for cancelable face templates generation
Pattern Recognition
A hybrid approach for generating secure and discriminating face template
IEEE Transactions on Information Forensics and Security
Cancelable fingerprint templates using minutiae-based bit-strings
Journal of Network and Computer Applications
Reverse-engineer methods on a biometric hash algorithm for dynamic handwriting
Proceedings of the 12th ACM workshop on Multimedia and security
Pair-polar coordinate-based cancelable fingerprint templates
Pattern Recognition
Biometric key binding: fuzzy vault based on iris images
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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This paper addresses the biometric security problem on smartcard and proposes a new method to protect face biometric data against attack. The proposed method is developed based on the Reed-Solomon codes, with two modifications. First, to handle the image variations problem, a bounded distance encoding algorithm is used to reduce the within-class distance. Second, since the dimension of the face feature vector is relatively large, we divide the feature vector into smaller segment. In this way, we found that it will not only affect the performance, but also the security of the encoding algorithm. A theoretical analysis is also given in this paper. Two most popular appearance-basedmethods, namely, Eigenface and Fisherface, are selected to construct the feature vector and ORL database is used for evaluation. In Eigenface system, the proposed algorithm offers a security level of 120 bits, with an acceptable error rate of around 3%. In Fisherface system, the proposed algorithm offers a security level of 62 bits, with equal error rate around 5%. The results are comparable with performance of Eigenface and Fisherface without protection.