An Algorithm for Human Iris Template Matching | ||||
| Menoufia Journal of Electronic Engineering Research | ||||
| Article 1, Volume 21, Issue 2, June 2011, Page 213-225 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjeer.2011.66526 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Ramadan M. Gad1; Nawal A. El-Fishawy1; Mohamed A. Mohamed2 | ||||
| 1Dept. of Computer Science and Eng., Faculty of Elect., Eng., Minufiya University | ||||
| 2Dept. of Electronic and Communication Eng., Faculty of Eng.,-Mansoura University. | ||||
| Abstract | ||||
| Iris recognition systems are widely used in biometrical based technology for personal identification and verification. Many systems have been implemented and their performances have been tested; each of them has its own advantages and disadvantages. In order to get over the drawbacks of these systems mixed techniques were described to implement an iris recognition system. The circular iris and pupil were segmented using threshold concepts and a canny edge detector followed by Circular Hough transform (CHT). Localized iris was normalized by Daugman's rubber sheet model. The coding method based on 1D log-Gabor transform is used to extract the discriminating features. Finally Hamming Distance (HD) operator was used in the template matching process. The proposed system was tested on CASIA database version-1. The results obtained for the hamming distance shows a significant improvement in HD operator as well as the processing time. | ||||
| References | ||||
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[1] K.W. Bowyer, K. Hollingsworth, and P.J. Flynn, "Image understanding for iris biometrics: A survey", Computer Vision and Image Understanding, Vol. 110, No. 2, PP. 281–307, May 2008.
[2] A.M. Sarhan, "Iris Recognition Using Discrete Cosine Transform and Artificial Neural Networks", Journal of Computer Science, Vol. 5, No. 5, PP. 369-373, May 2009.
[3] J.G. Daugman, "The importance of being random: statistical principles of iris recognition", Pattern Recognition, Vol. 36, No. 2, PP. 279 – 291, February 2003.
[4] J.G. Daugman, “High confidence visual recognition of person by a test of statistical independence,” IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol. 15, No. 11, PP.1148-1161, November1993.
[5] K. Delac, M. Grgic, "A survey of Biometric Recognition Methods", 46th International Symposium Electronics in Marine, ELMAR-2004, Zadar, Croatia, PP. 184-193, 16-18 June 2004.
[6] J.G. Daugman," How Iris Recognition Works", IEEE Transactions on Circuits and Systems for Video Technology, Vol. 14, No. 1,pp. 21-30, January 2004.
[7] M. Nabti, L. Ghouti, and A. Bouridanem, "An effective and fast iris recognition system based on a combined multi-scale feature extraction technique", Science direct, the journal of the Pattern Recognition society, Vol. 41, pp. 868 – 879, 2008.
[8] R.P. Wildes, "Iris recognition: an emerging biometric technology", Proceedings of the IEEE, Vol. 85, No. 9,pp. 1348-1363,September 1997.
[9] A. Basit, M.Y. Javed, and M. A. Anjum, "Efficient Iris Recognition Method for Human Identification," WorldAcademy of Science, Engineering and Technology, Vol. 4, No. 7, PP. 24-26, April 2005.
[10] A. Harjoko, S. Hartati, and H. Dwiyasa, "A Method for Iris Recognition Based on 1D Coiflet Wavelet", World Academy of Science, Engineering and Technology, Vol. 56, No. 24, PP. 126-129, August 2009.
[11] R.Y. Fatt Ng, Y.H. Tay, and K.M. Mok, "A Review of Iris Recognition Algorithms", IEEE, International Symposium on Information Technology, Vol. 2, pp. 1-7, Kuala Lumpur, Malaysia, 26-28 August 2008.
[12] Ismail A. Ismail, Mohammed A. Ramadan, Talaat. El danf , and Ahmed H. Samak, "An Effective Iris Recognition System Using Fourier Descriptor And Principle Component Analysis", International Journal of Computer and Electrical Engineering, Vol. 1, No. 2, PP. 117-120, June 2009.
[13] Hasan Demirel and Gholamreza Anbarjafari, "Iris Recognition System Using Combined Histogram Statistics", 23rd International Symposium on Computer and Information Sciences, Istanbul, pp. 1-4, 27-29 October 2008.
[14] A.E. Yahya and M.J. Nordin, "A New Technique for Iris Localization in Iris recognition Systems", Information Technology Journal, Vol. 7, No. 6,PP. 924-929,2008.
[15] S. Patnala, R.C. Murty, E. S. Reddy, and I.R. Babu, "Iris Recognition System Using Fractal Dimensions of Haar Patterns", International Journal of Signal Processing, Image Processing, and Pattern Recognition , Vol. 2, No.3, PP. 75-84, September 2009.
[16] A. Kumar, A. Passi, "Comparison and Combination of Iris Matchers for Reliable Personal Identification", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Anchorage, AK, pp. 1-7, 23-28 June 2008.
[17] D.L. Terissi, L. Cipolinm, and P. Balding, "Iris Recognition System based on Log-Gabor Coding," 7th Symposium Argentine of Artificial Intelligence – ASIA, Rosario, PP. 160-171, 29-30 August 2005. | ||||
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