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An Efficient Segmentation Method Based on Local Entropy Characteristics of Iris Biometrics

Authors: Amir Sepasi Zahmati, Ali Asghar Beheshti Shirazi, Ali Shojaee Bakhtiari

Abstract:

An efficient iris segmentation method based on analyzing the local entropy characteristic of the iris image, is proposed in this paper and the strength and weaknesses of the method are analyzed for practical purposes. The method shows special strength in providing designers with an adequate degree of freedom in choosing the proper sections of the iris for their application purposes.

Keywords: Entropy, Iris segmentation, biocryptosystem, biometric identification

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070113

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References:


[1] C. E. Shannon, "A Mathematical Theory of Communication", Bell System Technical Journal, vol. 27, pp. 379-423, 623-656, July, October,1948.
[2] J. Daugman, "How Iris Recognition Works", IEEE Transaction on circuits and systems for video technology, vol. 14, No.1, January 2004.
[3] F. Hao, R. Anderson and J. Daugman, "Combining Crypto with biometrics effectively", IEEE transactions on computers, Vol.55, No.9, September 2006.
[4] Li.Ma, T. Wang and D.Zhang, "Efficient Iris Recognition by Characterizing Key Local Variations" IEEE Trans. On image processing, vol.13, no. 6, pp. 739-750, 2004.
[5] A. Shojaee Bakhtiari, A. A. Beheshti, B. Zamanlooe, "Phase Congruency Based Image Enhancement Method and Its Application in Enhancing Iris Feature Extraction", Proceedings of Iranian conference on electrical engineering, 2007.
[6] P. Kovesi, "Phase Congruency Detects Corners and Edges", School of Computer Science & Software Engineering, The University of Western Australia, November 2003.
[7] W. K. Kong and 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, May, 2001.
[8] Libor Masek, "Recognition of Human Iris Patters for Biometric Identification" University of Western Australia 2003.
[9] P. Kovesi. MATLAB code for calculating phase congruency and phase symmetry asymmetry, April 1996, http://www.cs.uwa.edu.au/_pk/research/matlabfans/
[10] Iris Recognition Research Group Center for Biometrics and Security Research National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences. http://www.cbsr.ia.ac.cn