TY - GEN
T1 - What is biometric information and how to measure it?
AU - Sutcu, Yagiz
AU - Tabassi, Elham
AU - Sencar, Husrev T.
AU - Memon, Nasir
PY - 2013
Y1 - 2013
N2 - Being able to measure the information content of biometric data has significant importance. However, it is not only difficult to define the biometric information conceptually, but also a challenging estimation problem due to many practical issue such as, different feature representation of different biometric modalities, unknown feature distributions, limited sample size, etc. In this paper, we provided a summary of the several proposed approaches and discuss their merits and shortcomings of these works and focused on techniques which are based on relative entropy. We also introduced a user-specific biometric information measure and evaluated these measures using iris biometric. We explored the effect of the biometric sample quality on the biometric information measurements using different subsets of the iris data with different quality levels. We also investigated the effect of binarization/encoding phase in the iris recognition on the biometric information by comparing our results obtained from image and binary feature domain.
AB - Being able to measure the information content of biometric data has significant importance. However, it is not only difficult to define the biometric information conceptually, but also a challenging estimation problem due to many practical issue such as, different feature representation of different biometric modalities, unknown feature distributions, limited sample size, etc. In this paper, we provided a summary of the several proposed approaches and discuss their merits and shortcomings of these works and focused on techniques which are based on relative entropy. We also introduced a user-specific biometric information measure and evaluated these measures using iris biometric. We explored the effect of the biometric sample quality on the biometric information measurements using different subsets of the iris data with different quality levels. We also investigated the effect of binarization/encoding phase in the iris recognition on the biometric information by comparing our results obtained from image and binary feature domain.
UR - http://www.scopus.com/inward/record.url?scp=84893295064&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893295064&partnerID=8YFLogxK
U2 - 10.1109/THS.2013.6698978
DO - 10.1109/THS.2013.6698978
M3 - Conference contribution
AN - SCOPUS:84893295064
SN - 9781479915354
T3 - 2013 IEEE International Conference on Technologies for Homeland Security, HST 2013
SP - 67
EP - 72
BT - 2013 IEEE International Conference on Technologies for Homeland Security, HST 2013
T2 - 2013 13th IEEE International Conference on Technologies for Homeland Security, HST 2013
Y2 - 12 November 2013 through 14 November 2013
ER -