TY - GEN
T1 - Binary discriminant analysis for face template protection
AU - Feng, Yi C.
AU - Yuen, Pong C.
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78149475871&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2010.220
DO - 10.1109/ICPR.2010.220
M3 - Conference proceeding
AN - SCOPUS:78149475871
SN - 9780769541099
T3 - Proceedings - International Conference on Pattern Recognition
SP - 874
EP - 877
BT - Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
T2 - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Y2 - 23 August 2010 through 26 August 2010
ER -