TY - GEN
T1 - Design and analysis of fuzzy extractors for faces
AU - Sutcu, Yagiz
AU - Li, Qiming
AU - Memon, Nasir
PY - 2009
Y1 - 2009
N2 - It is both crucial and challenging to protect biometric data used for biometric identification and authentication systems, while keeping the systems user friendly. We study the design and analysis of biometric data protection schemes based on fuzzy extractors. There are limitations in previous fuzzy extractors, which make them difficult to handle continuous feature spaces, entropy estimation, and feature selection. We proposed a scheme based on PCA features and a recently proposed fuzzy extractor for continuous domains. We conduct experiments using the ORL face database, and analyze carefully the entropies and the resulting security of the system. We explore and compare different ways to select and combine features, and show that randomization plays an important role in both security, performance and cancelability. Furthermore, proposed feature selection does yield better estimation of the final key strength. Keywords: Biometrics, security, template protection, entropy analysis.
AB - It is both crucial and challenging to protect biometric data used for biometric identification and authentication systems, while keeping the systems user friendly. We study the design and analysis of biometric data protection schemes based on fuzzy extractors. There are limitations in previous fuzzy extractors, which make them difficult to handle continuous feature spaces, entropy estimation, and feature selection. We proposed a scheme based on PCA features and a recently proposed fuzzy extractor for continuous domains. We conduct experiments using the ORL face database, and analyze carefully the entropies and the resulting security of the system. We explore and compare different ways to select and combine features, and show that randomization plays an important role in both security, performance and cancelability. Furthermore, proposed feature selection does yield better estimation of the final key strength. Keywords: Biometrics, security, template protection, entropy analysis.
KW - Biometrics
KW - Entropy analysis
KW - Security
KW - Template protection
UR - http://www.scopus.com/inward/record.url?scp=69949122147&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=69949122147&partnerID=8YFLogxK
U2 - 10.1117/12.820571
DO - 10.1117/12.820571
M3 - Conference contribution
AN - SCOPUS:69949122147
SN - 9780819475725
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI
T2 - Optics and Photonics in Global Homeland Security V and Biometric Technology for Human Identification VI
Y2 - 13 April 2009 through 16 April 2009
ER -