Multi-algorithmic Iris Authentication System

Authors: Hunny Mehrotra, Banshidhar Majhi, Phalguni Gupta

Abstract:

The paper proposes a novel technique for iris recognition using texture and phase features. Texture features are extracted on the normalized iris strip using Haar Wavelet while phase features are obtained using LOG Gabor Wavelet. The matching scores generated from individual modules are combined using sum of score technique. The system is tested on database obtained from Bath University and Indian Institute of Technology Kanpur and is giving an accuracy of 95.62% and 97.66% respectively. The FAR and FRR of the combined system is also reduced comparatively.

Keywords: Fusion, Haar Wavelet, Iris, LOG Gabor Wavelet, Phase, Texture.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1330161

References:

[1] L. Flom, and A. Safir, "Iris Recognition System," U.S Patent No. 4641349. U.S Government Printing Office, Washington DC, 1987.
[2] J. Daugman, "Biometric Personal Identification System Based on Iris Analysis," US patent 5291560, Patent and Trademark Office, Washington, D.C., 1994.
[3] L. Ma, T. Tan, Y. Wang, and D. Zhang, "Personal identification based on iris texture analysis," In IEEE Pattern Analysis and Machine Intelligence, volume 25, pp. 1519-1533, 2003.
[4] C. Kimme, D. Ballard, and J. Sklansky, "Finding circles by an array of accumulators," ACM Commununication, volume 18(2), pp. 120-122, 1975.
[5] M. Rizon, H. Yazid, P. Saad, A. Y. Md. Shakaff, A. S. Rahman, M. Sugisaka, S. Yaacob, M. M. Rozailan, and M. Karthigayan, "Object detection using circular hough transform," American Journal of Applied Sciences, volume 2(12), 2005.
[6] S. Lim, K. Lee, O. Byeon, and T. Kim, "Efficient iris recognition through improvement of feature vector and classifier," ETRI journal, volume 23(2), pp. 61-70, 2001.
[7] D. J. Field, "Relations between the statistics of natural images and the response properties of cortical cells," J. Opt. Soc. Am. A, volume 4(12), pp. 23-79, 1987.
[8] J. Daugman, "Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns," International Journal on Computer Vision, volume 45(1), pp. 25-38, 2001.
[9] Y. Zhu, T. Tan, and Y. Wang, "Biometric personal identification based on iris patterns," Proceedings of 15th International Conference on Pattern Recognition, volume 2, pp. 801-804, 2000.
[10] W. W. Boles, and B. Boashash, "A human identification technique using images of the iris and wavelet transform," IEEE Transactions on Signal Processing, volume 46(4), pp. 1185-1188, 1998.
[11] L. Ma, T. Tan, Y. Wang, and D. Zhang, "Local intensity variation analysis for iris recognition," Pattern Recognition, volume 37(6), pp. 1287-1298, 2004.
[12] L. Masek, "Recognition of Human Iris Patterns for Biometrics Identification," B.Eng's thesis, University of Western Australia, 2003.
[13] http://www.bath.ac.uk/elec-eng/research/sipg/irisweb/database.htm
[14] J. Daugman, "The importance of being random: Statistical principles of iris recognition," Pattern Recognition, volume 36(2), pp. 279-291, 2003.