Iris segmentation and recognition using 2d log-gabor filters

Authors:
Carlos A. C. M. Bastos;Tsang Ing Ren;George D. C. Cavalcanti
Affiliations:
Center of Informatics, Federal University of Pernambuco --- CIn/UFPE, Recife, PE, Brazil;Center of Informatics, Federal University of Pernambuco --- CIn/UFPE, Recife, PE, Brazil;Center of Informatics, Federal University of Pernambuco --- CIn/UFPE, Recife, PE, Brazil
Venue:
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Year:
2012

Citing 3
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Abstract

This paper describes an analysis on the parameters used to construct 2D log-Gabor filters to encode iris patterns. An iris recognition system, composed by segmentation, normalization, encoding and matching is also described. The segmentation module combines the Pulling & Pushing and Active Contour Model and the Circular Hough Transform to find the inner and the outter boundaries of the iris. The experiments were performed using the CASIA v.1 iris database and the results are analyzed using ROC curves. They showed that 2D log-Gabor filters are also an effective alternative to encode the features present on iris patterns.