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Author Mahadeo, Nitin K. ♦ Papliński, Andrew P. ♦ Ray, Sid
Source CiteSeerX
Content type Text
Publisher IEEE
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Description The texture of the iris is commonly represented as an iris code in iris recognition systems. While several approaches have been presented for generating iris codes, relatively few comparison techniques have been proposed. In this paper, we take advantage of the availability of several frames from an iris video to create a single optimized iris code. This is achieved by performing both row-wise and column-wise optimization of iris codes. Inconsistent bits are accurately detected and masked in the final iris code. Our experiments demonstrate that by exploiting variations within the com-parison scores of different rows and columns of N frames, we are able to derive the number of consistent bits in the fi-nal iris code thereby resulting in significant improvement in recognition performance. We compare our algorithm with well-known methods, namely, Fragile bit masking, Signal fusion and, two Score Fusion techniques. Experimental re-sults on a dataset of 986 iris videos show that the proposed method is encouraging and comparable to the best algo-rithms in the current literature. To our knowledge, this is the first work that makes use of the best rows and columns from different frames in an iris video to improve performance. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2014-01-01
Publisher Institution In Computer Vision and Pattern Recognition (CVPR) Workshops, 2014, IEEE Computer Society Conference on