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Proceedings of the 2nd International Symposium on Information Processing (ISIP 2009)

Huangshan, China, August 21-23, 2009

Editors: Fei Yu, Jian Shu, and Guangxue Yue

AP Catalog Number: AP-PROC-CS-09CN002

ISBN: 978-952-5726-02-2 (Print), 978-952-5726-03-9 (CD-ROM)

Page(s): 113-116

Iris Recognition Method Based on the Morlet Wavelet Transform Real Coefficients

Lin Zhonghua and Ma Hongyan

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This paper presents an iris recognition method based on the Morlet wavelet transform real coefficients. Firstly, it locates the iris, then makes normalization to the iris image and gets 512 columns multiplying 64 rows rectangular iris image, ensures the effective iris area. Secondly, it makes one dimension Morlet wavelet transform row by row to the iris image in the effective iris area, gets a series of wavelet transform real coefficients of different scales and gets the distribution figure of these coefficients of different scales. Thirdly, it makes binary codes to the iris image according to the real coefficients of different scales and figures the iris pattern by iris codes. Finally, it sorts the different iris patterns by pattern matching method and gives the recognition results. Many experiments show the recognition rates of this method can reach 98.474% that can meet the demand of iris recognition.

Index Terms

iris recognition, morlet wavelet, wavelet transform real coefficients

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