CCS '99 Proceedings of the 6th ACM conference on Computer and communications security
IEEE Transactions on Pattern Analysis and Machine Intelligence
A secure biometric authentication scheme based on robust hashing
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
IEEE Transactions on Pattern Analysis and Machine Intelligence
EURASIP Journal on Advances in Signal Processing
Protecting DCT Templates for a Face Verification System by Means of Pseudo-random Permutations
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Symmetric hash functions for fingerprint minutiae
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
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As biometric techniques are being used in a growing number of applications, biometric template security is becoming of great concern in biometric systems. Unlike passwords and tokens, compromised biometric templates cannot be revoked and reissued. In this paper we propose a biometric authentication system based on face recognition using 2D Discrete Cosine Transform and neural networks. A discriminability criterion is used to select the DCT coefficients that make up the biometric template and a user dependent pseudo-random ordering of the DCT template coefficients is applied to provide template security. Experimental results show how the application of such techniques leads to both, enhanced recognition performance and system security, because user authentication process merges biometric recognition with the knowledge of a secret key.