Iris recognition is a form of biometric techniques that identifies user with the unique iris patterns between the pupil and the sclera. Biometric identification technology has been associated generally with very costly top secure applications. This paper suggests a new approach to iris recognition system. Sobel operator is used for iris edge detection. Simplicity and quickness of proposed edge detection method which is coping with binary images is considerable. Binary code representation from each iris image and a modified Hamming distance method is applied for matching process. Experimental results on UBIRIS. v1 images database which has 1877 images collected from 241 person's shows the reliability and efficiency of the proposed algorithm.

1. J. Daugman. How iris recognition works. "Proceedings of 2002 International Conference on Image Processing, Vol. 1, 2002".
2. Gonzalez, R. C. , Woods, R. E, "Digital ImageProcessing, 2nd ed. , Prentice Hall (2002)".
3. Parvinder S. Sandhu, IqbaldeepKaur, AmitVerma, Samriti Jindal, Shailendra Singh, "Biometric Methods and Implementation of Algorithms", International Journal of Electrical and Electronics Engineering, pp. 3-8, 2009.
4. Carolyn Kimme, Dana Ballard, and Jack Sklansky. Finding circles by an array of accumulators. Communication of the ACM, Volume 18, Number 2, February 1975.
5. Duda, R. O. and P. E Hart, 1972. Use of the Houghtransformation to detect lines and curves in picture. Commun. ACM, pp: 11-15.
6. Mohamed Rizon, HanizaYazid, PutehSaad, Ali YeonMdShakaff, Abdul RahmanSaad, MasanoriSugisaka, SazaliYaacob, M. RozailanMamat, and 1M. Karthigayan. Object detection using circular transform. American Journal of Applied Sciences 2 (12), 2005.
7. Sobel edge detection (http: //www. mygeeksite. In /2012/05/sobel-edge-detection-opencv-for-windows. Html)
8. Center for Biometrics and Security Research. CASIA Iris Image Databas Available: http://www. sinobiometrics. com/casiairis. htm
9. J. Daugman,"How iris recognition works", Proceedings of 2002 International Conference on Image Processing, Vol. 1, 2002.
10. C. Barry, N. Ritter,"Database of 120 Greyscale Eye Images", Lions Eye Institute, Perth Western Australia. [11[ R. Wildes, J. Asmuth, G. Green, S. Hsu, R. Kolczynski, J. Matey, S. McBride," A system for automated iris recognition", Proceedings IEEE Workshop on Applications of Computer Vision, Sarasota, FL, pp. 121-128, 1994. [12[ W. Kong, D. Zhang, "Accurate iris segmentation based on novel reflection and eyelash detection model" Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, Hong Kong, 2001.
11. C. Tisse, L. Martin, L. Torres, M. Robert," Person identification technique using human iris recognition", International Conference on Vision Interface, Canada, 2002.
12. L. Ma, Y. Wang, T. Tan," Iris recognition using circular symmetric filters", National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 2002.
13. N. J. Ritter and J. R. Cooper, "Locating the iris: A first step to registration and identification. " in Proc. 9th IASTED International Conference on Signal and Image Processing, pp. 507-512, IASTED, Aug. 2003.
14. S. Sanderson, J. Erbetta," Authentication for secure environments based on iris scanning technology", IEE Colloquium on Visual Biometrics, 2000.
15. R. Wildes. ,"Iris recognition: an emerging biometric technology. Proceedings of the IEEE", Vol. 85, No. 9, 1997".
16. W. Boles, B. Boashash. "A human identification technique using images of the iris and wavelet transform",IEEE Transactions on Signal Processing, Vol. 46, No. 4, 1998.
17. Parvinder S. Sandhu, IqbaldeepKaur, AmitVerma, Samriti Jindal, Shailendra Singh," Biometric Methods and Implementation of Algorithms", International Journal of Electrical and Electronics Engineering 3-8, 2009.
18. Libor Masek, "Recognition of Human Iris Patterns for Biometric Identification"
19. Simon Just Kjeldgaard Pedersen, "Circular Hough Transform", Aalborg University, Vision, Graphics, and Interactive Systems, November 2007.
20. http://iris. di. ubi. pt

Biometric identification Iris recognition Sobel Hamming Distance Image processing