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http://dx.doi.org/10.5762/KAIS.2010.11.11.4568

A Iris Recognition Using Zernike Moment and Wavelet  

Choi, Chang-Soo (Department of Computer Engineering, Chungbuk National University)
Park, Jong-Cheon (Department of Computer Engineering, Chungbuk National University)
Jun, Byoung-Min (Department of Computer Engineering, Chungbuk National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.11, no.11, 2010 , pp. 4568-4575 More about this Journal
Abstract
Iris recognition is a biometric technology that uses iris pattern information, which has features of stability, security etc. Because of this reason, it is especially appropriate under certain circumstances of requiring a high security. Recently, using the iris information has a variety uses in the fields of access control and information security. In extracting the iris feature, it is desirable to extract the feature which is invariant to size, lights, rotation. We have easy solutions to the problem of iris size and lights by previous processing but there is still problem of iris feature extract invariant to rotation. In this paper, To improve an awareness ratio and decline in speed for a revision of rotation, it is proposed that the iris recognition method using Zernike Moment and Daubechies Wavelet. At first step, the proposed method groups rotated iris into similar things by statistical feature of Zernike Moment invariant to a rotation, which shortens processing time of iris recognition and looks equal to an established method in the performance of recognition too. therefore, proposed method could confirm the possibility of effective application for large scale iris recognition system.
Keywords
Biometrics; Iris Recognition; Zernike Moment; Daubechies Wavelet;
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