TY - GEN
T1 - Cancelable biometrics for better security and privacy in biometric systems
AU - Kanade, Sanjay Ganesh
AU - Petrovska-Delacrétaz, Dijana
AU - Dorizzi, Bernadette
PY - 2011/8/16
Y1 - 2011/8/16
N2 - We present a simple scheme with three main features: (1) it induces revocability in biometrics based user authentication systems, (2) protects the biometric information, and (3) improves the verification performance. The user's biometric feature vector is shuffled with a user specific shuffling key to transform into a revocable template. Comparison between different templates is carried out in the transformed domain. If the template is compromised, it can be replaced with another template obtained by changing the shuffling key. This scheme makes cross-matching between databases impossible by issuing different templates for different applications. The performance evaluation of the system is carried out on two modalities: iris and face using publicly available databases. This scheme significantly improves the verification performance of the underlying biometric system, e.g., it reduces the Equal Error Rate (EER) from 1.67% to 0.23% on the NIST-ICE iris database. The EER on the NIST-FRGCv2 face database reduces from 8.10% to zero.
AB - We present a simple scheme with three main features: (1) it induces revocability in biometrics based user authentication systems, (2) protects the biometric information, and (3) improves the verification performance. The user's biometric feature vector is shuffled with a user specific shuffling key to transform into a revocable template. Comparison between different templates is carried out in the transformed domain. If the template is compromised, it can be replaced with another template obtained by changing the shuffling key. This scheme makes cross-matching between databases impossible by issuing different templates for different applications. The performance evaluation of the system is carried out on two modalities: iris and face using publicly available databases. This scheme significantly improves the verification performance of the underlying biometric system, e.g., it reduces the Equal Error Rate (EER) from 1.67% to 0.23% on the NIST-ICE iris database. The EER on the NIST-FRGCv2 face database reduces from 8.10% to zero.
KW - Cancelable biometrics
KW - Face
KW - Iris
KW - Revocability
KW - Security and privacy
U2 - 10.1007/978-3-642-22720-2_3
DO - 10.1007/978-3-642-22720-2_3
M3 - Conference contribution
AN - SCOPUS:80051557036
SN - 9783642227196
T3 - Communications in Computer and Information Science
SP - 20
EP - 34
BT - Advances in Computing and Communications - First International Conference, ACC 2011, Proceedings
T2 - 1st International Conference on Advances in Computing and Communications, ACC 2011
Y2 - 22 July 2011 through 24 July 2011
ER -