TY - GEN
T1 - How to measure biometric information?
AU - Sutcu, Yagiz
AU - Sencar, Husrev T.
AU - Memon, Nasir
PY - 2010
Y1 - 2010
N2 - Being able to measure the actual information content of biometrics is very important but also a challenging problem. Main difficulty here is not only related to the selected feature representation of the biometric data, but also related to the matching algorithm employed in biometric systems. In this paper, we propose a new measure for measuring biometric information using relative entropy between intra-user and interuser distance distributions. As an example, we evaluated the proposed measure on a face image dataset.
AB - Being able to measure the actual information content of biometrics is very important but also a challenging problem. Main difficulty here is not only related to the selected feature representation of the biometric data, but also related to the matching algorithm employed in biometric systems. In this paper, we propose a new measure for measuring biometric information using relative entropy between intra-user and interuser distance distributions. As an example, we evaluated the proposed measure on a face image dataset.
KW - Biometric information
KW - Relative entropy
UR - http://www.scopus.com/inward/record.url?scp=78149486986&partnerID=8YFLogxK
U2 - 10.1109/ICPR.2010.363
DO - 10.1109/ICPR.2010.363
M3 - Conference contribution
AN - SCOPUS:78149486986
SN - 9780769541099
T3 - Proceedings - International Conference on Pattern Recognition
SP - 1469
EP - 1472
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 -