Department of Computer Science
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 realvalued 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. © 2010 IEEE.
Source Publication Title
Proceedings: 2010 20th International Conference on Pattern Recognition
Link to Publisher's Edition
Feng, Y., & Yuen, P. (2010). Binary discriminant analysis for face template protection. Proceedings: 2010 20th International Conference on Pattern Recognition, 874-877. https://doi.org/10.1109/ICPR.2010.220