@article{(Open Science Index):https://publications.waset.org/pdf/8025,
	  title     = {An Efficient Segmentation Method Based on Local Entropy Characteristics of Iris Biometrics },
	  author    = {Ali Shojaee Bakhtiari and  Ali Asghar Beheshti Shirazi and  Amir Sepasi Zahmati},
	  country	= {},
	  institution	= {},
	  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. },
	  volume    = {1},
	  number    = {4},
	  year      = {2007},
	  pages     = {869 - 873},
	  ee        = {https://publications.waset.org/pdf/8025},
	  url   	= {https://publications.waset.org/vol/4},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 4, 2007},