A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Iris Recognition Using Wavelet Features
Journal of VLSI Signal Processing Systems
Iris Recognition Using Collarette Boundary Localization
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
UBIRIS: a noisy iris image database
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
An iterative algorithm for fast iris detection
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Efficient iris recognition by characterizing key local variations
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Circular shortest path as a method of detection and refinement of iris borders in eye image
Journal of Computer and Systems Sciences International
Enhanced homeland security and disaster emergency operations based on biometrics and RFID
International Journal of Computer Applications in Technology
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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.