TY - GEN
T1 - Fusion of novel iris segmentation quality metrics for failure detection
AU - Lefevre, Thierry
AU - Dorizzi, Bernadette
AU - Garcia-Salicetti, Sonia
AU - Lemperiere, Nadege
AU - Belardi, Stephane
PY - 2013/9/26
Y1 - 2013/9/26
N2 - Segmentation of the iris is one of the key modules of an iris recognition system. For this reason, it is critical to predict failures of this module. In this article we propose a new set of segmentation quality metrics dedicated this problem. We assess the quality of our metrics based on their ability to predict the intrinsic recognition performance of a segmented image. A straightforward fusion procedure then allows generating a global segmentation quality score.
AB - Segmentation of the iris is one of the key modules of an iris recognition system. For this reason, it is critical to predict failures of this module. In this article we propose a new set of segmentation quality metrics dedicated this problem. We assess the quality of our metrics based on their ability to predict the intrinsic recognition performance of a segmented image. A straightforward fusion procedure then allows generating a global segmentation quality score.
U2 - 10.1007/978-3-642-39094-4_12
DO - 10.1007/978-3-642-39094-4_12
M3 - Conference contribution
AN - SCOPUS:84884495080
SN - 9783642390937
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 97
EP - 106
BT - Image Analysis and Recognition - 10th International Conference, ICIAR 2013, Proceedings
T2 - 10th International Conference on Image Analysis and Recognition, ICIAR 2013
Y2 - 26 June 2013 through 28 June 2013
ER -