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Wavelet Energy Feature Extraction and Matching for Palmprint Recognition

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Abstract

According to the fact that the basic features of a palmprint, including principal lines, wrinkles and ridges, have different resolutions, in this paper we analyze palmprints using a multi-resolution method and define a novel palmprint feature, which called wavelet energy feature (WEF), based on the wavelet transform. WEF can reflect the wavelet energy distribution of the principal lines, wrinkles and ridges in different directions at different resolutions (scales), thus it can efficiently characterize palmprints. This paper also analyses the discriminabilities of each level WEF and, according to these discriminabilities, chooses a suitable weight for each level to compute the weighted city block distance for recognition. The experimental results show that the order of the discriminabilities of each level WEF, from strong to weak, is the 4th, 3rd, 5th, 2nd and 1st level. It also shows that WEF is robust to some extent in rotation and translation of the images. Accuracies of 99.24% and 99.45% have been obtained in palmprint verification and palmprint identification, respectively. These results demonstrate the power of the proposed approach.

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Authors and Affiliations

  1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, P.R. China

    Xiang-Qian Wu & Kuan-Quan Wang

  2. Biometrics Research Centre, Department of Computing, Hong Kong Polytechnic University, Hong Kong Special Administrative Region, P.R., China

    David Zhang

Authors
  1. Xiang-Qian Wu
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  2. Kuan-Quan Wang
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  3. David Zhang
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Corresponding author

Correspondence to Xiang-Qian Wu.

Additional information

Supported by the National Natural Science Foundation of China under Grant No.60441005.

Short Paper

Supported by the National Science Foundation of China under Grant No.60441005.

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Wu, XQ., Wang, KQ. & Zhang, D. Wavelet Energy Feature Extraction and Matching for Palmprint Recognition. J Comput Sci Technol 20, 411–418 (2005). https://doi.org/10.1007/s11390-005-0411-8

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  • DOI: https://doi.org/10.1007/s11390-005-0411-8

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