Binary Discriminant Analysis for Face Template Protection

Biometric cryptosystem (BC) is a very secure approach for template protection because the stored template is encrypted. The key issues in BC approach include(i) limited capability in handling intra-class variations and (ii) binary input is required. To overcome these problems, this paper adopts the concept of discriminative analysis and develops a new binary discriminant analysis (BDA) method to convert a real valued template to a binary template. Experimental results on CMU-PIE and FRGC face databases show that the proposed BDA method outperforms existing template binarization schemes.