Vessel pattern enhancement based on Weber's law for sclera recognition

Abstract

The blood vessel patterns of the sclera show rich and unique details in the visible spectrum. In this paper, an efficient vessel enhancement method is proposed based on Weber's law in order to make the blood vessel patterns clearly visible. Then, the Speeded Up Robust Features is used for feature extraction. Experimental results on the UBIRIS version 1 dataset showed that the proposed method is useful to reveal the vague vessel patterns, and Equal Error Rate (EER) is 2.27% including all poor quality images (e.g. blurred or blinked images).