Authors: Somnath Dey, Debasis Samanta
Addresses: School of Information Technology, Indian Institute of Technology, Kharagpur 721302, India. ' School of Information Technology, Indian Institute of Technology, Kharagpur 721302, India
Abstract: 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.
Keywords: biometrics; iris recognition; image processing; image segmentation; iris detection; automated identification; biometric authentication.
International Journal of Computer Applications in Technology, 2009 Vol.35 No.1, pp.2 - 9
Published online: 10 Apr 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article