Wavelet Energy Feature Extraction and Matching for Palmprint Recognition

@article{Wu2005WaveletEF,
  title={Wavelet Energy Feature Extraction and Matching for Palmprint Recognition},
  author={Xiangqian Wu and Kuanquan Wang and David Zhang},
  journal={Journal of Computer Science and Technology},
  year={2005},
  volume={20},
  pages={411-418}
}
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… CONTINUE READING
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