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Title:
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A HUMAN IRIS RECOGNITION TECHNIQUES TO ENHANCE E-SECURITY ENVIRONMENT USING WAVELET TRASFORM |
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Author(s):
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Jafar M. H. Ali , Aboul Ella Hassanien |
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ISBN:
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972-98947-1-X |
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Editors:
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Pedro Isaías and Nitya Karmakar |
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Year:
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2003 |
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Edition:
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1 |
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Keywords:
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User authentication, E-security, Biometrics, Iris recognition, segmentation, wavelet, classification, e-business. |
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Type:
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Full Paper |
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First Page:
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572 |
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Last Page:
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579 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In this paper, efficient biometric security techniques for iris recognition system with high performance and high confidence are described. The system is based on an empirical analysis of the iris image and it is split in several steps using local image properties. The system steps are capturing iris patterns; determine the location of the iris boundaries; converting the iris boundary to the stretched polar coordinate system; extracting the iris code based on texture analysis using wavelet transforms; and classification of the iris code. The proposed system use the wavelet transforms for texture analysis, and it depends heavily on knowledge of the general structure of a human iris. The system was implemented and tested using a dataset of 240 samples of iris data with different contrast quality. The classification rate compared with the well known methods is discussed. |
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