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Face recognition based on wavelet-curvelet-fractal technique

  • Published:
Journal of Electronics (China)

Abstract

In this paper, a novel face recognition method, named as wavelet-curvelet-fractal technique, is proposed. Based on the similarities embedded in the images, we propose to utilize the wavelet-curvelet-fractal technique to extract facial features. Thus we have the wavelet’s details in diagonal, vertical, and horizontal directions, and the eight curvelet details at different angles. Then we adopt the Euclidean minimum distance classifier to recognize different faces. Extensive comparison tests on different data sets are carried out, and higher recognition rate is obtained by the proposed technique.

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Authors and Affiliations

  1. Department of Electronic Engineering, Heilongjiang University, Harbin, 150080, China

    Zhong Zhang, Peidong Zhuang, Yong Liu, Qun Ding & Hong’an Ye

  2. Electronic Engineering Institute, Harbin, 150080, China

    Zhong Zhang

Authors
  1. Zhong Zhang
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  2. Peidong Zhuang
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  3. Yong Liu
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  4. Qun Ding
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  5. Hong’an Ye
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Corresponding author

Correspondence to Zhong Zhang.

Additional information

Supported by the College of Heilongjiang Province, Electronic Engineering Key Lab Project dzzd200602 and Heilongjiang Province Educational Bureau Scientific Technology Important Project 11531z18.

Communication author: Zhang Zhong, born in 1972, male, Ph.D., Professor.

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Zhang, Z., Zhuang, P., Liu, Y. et al. Face recognition based on wavelet-curvelet-fractal technique. J. Electron.(China) 27, 206–211 (2010). https://doi.org/10.1007/s11767-010-0310-6

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  • DOI: https://doi.org/10.1007/s11767-010-0310-6

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