2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:MP-P5.7
Session:Biometrics III: Fingerprints, Iris, Palmprints
Time:Monday, September 17, 14:30 - 17:10
Presentation: Poster
Title: ROTATION-INDEPENDENT IRIS MATCHING BY MOTION ESTIMATION
Authors: Don Monro; University of Bath 
 Soumyadip Rakshit; University of Bath 
Abstract: In this paper we propose a novel method of applying motion estimation techniques to human authentication by iris matching. By exploiting the inherent differences in vector fields generated by comparing same-class and different-class irises, good matching performance was obtained. The method was applied to 600 images of 150 eyes from the Bath database. The best settings of several parameters were determined through experimental minimization of equal error rate (EER), which was estimated from the matching and nearest nonmatching distributions. The effect of iris rotation was studied through circular shifts and seen to have minimal effects on match/nonmatch scores. The standard deviation of the X-vector data was found to give best performance with 100% Correct Recognition Rate (CRR) and a flat Receiver Operating Characteristics (ROC) indicating no false accepts or rejects within the data with an estimated EER of 0.007. Images compressed with JPEG2000 at 0.5 bpp were similarly processed resulting in an EER of 0.014 at a normalized image size of 1536 bytes.



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