Computer Sciences Dept.

Quantification and Correction of Iris Color

Shaohua Fan, Charles Dyer, Larry Hubbard

A system has been developed that automatically extracts the iris region from photographs, computes the iris color in CIE u 'v ' diagram color space, and corrects the color based on a standard calibration target. This system has advantages over previous manual methods in that it (I) is much less time-consuming because it is fully automatic, (2) corrects for the variability inherent in a film-based photographic process, (3) allows for greater objectivity and reproducibility, and (4) uses a mathematical foundation that enables quantification and statistical analysis. Preliminary experimental results show that color correction significantly improves grading accuracy.

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