An efficient approach to iris detection for iris biometric processing

Detection of iris in an eye image poses a number of challenges, such as inferior image quality, occlusion of eyelids, eyelashes etc. Owing to these problems, it is not possible to achieve 100% accuracy in any iris-based biometric authentication system. In this paper, we have proposed an approach to detect the iris boundary in an efficient and accurate way. Experimental results show that our approach is approximately 75% faster than the existing approaches. With our approach it is possible to detect the iris part 98% accurately as substantiated by our experiments on Bath, MMU and UBIRIS iris image databases.