Match score level fusion of iris and sclera descriptor for iris recognition

Abstract

Most recently popular biometrie systems are based on recognition and classification of unique sclera and iris patterns. Unique pattern of blood veins explore the interest in sclera recognition for person identification. However sclera segmentation of relaxed eye images in condition such as different stare direction, at-a-distance image and on-the-move image widely enquired. The drawback of iris is off angle imaging where position of iris and center for off angle imagining affect the performance of sclera segmentation in terms of accuracy. Another challenge in sclera segmentation and iris recognition is high resolution and dark images which causes draining process for mobile application. So we proposed a new method which is the fusion of both iris and sclera. In proposed system sclera and iris descriptor value are fuse together for reliable and accurate iris recognition system. The proposed method will test the execution of iris recognition system for different fusion model using iris and sclera descriptor values to ensure the performance of iris recognition for a relaxed imaging.