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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


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):

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