Performance Analysis of Blood Vessel Segmentation in Sclera Images

Sclera is used for the authentication of biometric threats. Sclera is the opaque and white outer layer of the eyeball. This and only those part of eye has noticeable blood veins which are unsystematically disseminated and differs from one person to another, hence it is used for the recognition systems. The main focus of this paper is to develop algorithm of Sclera identification and segmentation with high accuracy and less time complexity. The system comprises of segmentation using active contours without edges method then enhancement, extraction and matching process. UBIRIS.v1 and UTIRIS databases are used so has to obtain high accuracy and less complexity.

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