Iris Biometric Analysis under Occlusion

Abstract

Iris is one of the most dependable biometric trait used for human’s recognition. Iris recognition validates a person’s identity by comparing the unique flowery patterns of the iris with that of the available database. The performance of the iris biometric reduces considerably if any occlusion like spectacles, glare corrupt the iris. In this project, we use image inpainting to alleviate the problem of occlusion pixels. This project is composed of stages which include, iris image acquisition, image inpainting, image pre-processing, feature extraction, matching with database and finally decision making. The algorithm for image inpainting is based on texture analysis using mean filter and the algorithm for iris recognition is based conceptually as used by R. P. Wildes. The result of the proposed (improved) iris recognition system have been found to be quite promising even in case of occlusion.