Human Identification Based On Scleral Vasculature
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 3
Abstract
The blood vessel patterns of sclera show rich and unique details. To date, sclera is relatively less studied and little is known regarding its usefulness and performance. Here, sclera recognition for human identification is proposed. It poses a challenge because sclera vessel patterns are often dense and/or saturated and, most importantly, the vessel structure in the sclera is complex and has deformations. A new method for sclera segmentation which uses Daugman’s integro-differential operator is proposed. It is followed by Otsu’s thresholding method and erosion. A comparative analysis is presented between Gabor filter and Canny edge detection methods. Since, Canny filter has higher noise immunity as compared to Gabor filter it is used to enhance and thin the conjunctival vasculature patterns. A sclera template generation method is proposed that uses Hough transform. The proposed scheme is tested on the images from UBIRIS 3 database which is publicly available. Thus, the use of sclera vasculature pattern as potential biometric is investigated.
Authors and Affiliations
Rujuta Makarand Vaidya
Keywords
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- EP ID EP89973
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