Applications of Wavelet Packets Decomposition in Iris Recognition

  • Junying Gan
  • Yu Liang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)

Abstract

The method of Wavelet Packets Decomposition (WPD) originating from wavelet transform is more accurate in signal analysis, with the predominance of analyzing high-frequency information. Combined with the trait of WPD, an algorithm for iris recognition is presented in this paper. Firstly, iris image is divided into several windows, and WPD is done to them. At the same time, some of the subband images from each window are selected, which contain most information of iris image. Secondly, the farther feature extraction and compression are applied to these subband images by way of Singular Value Decomposition (SVD), and iris recognition features are obtained. Finally, Weighted Euclidean Distance (WED) classifier is utilized in recognition. Experimental results on CASIA (Chinese Academy of Sciences, Institute of Automation) iris image database show the method is valid in iris recognition.

Keywords

Singular Value Decomposition Recognition Rate Wavelet Coefficient Iris Image Iris Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Junying Gan
    • 1
  • Yu Liang
    • 1
  1. 1.School of informationWuyi UniversityJiangmen, GuangdongP.R.C.

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