JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 32 Issue 5
September 2017
Article Contents
ZHANG Yan-qiang, LI Zhe-qian and WANG Bo-han. Single training sample palmprint recognition method based on wavelet subbands fusion[J]. Journal of Light Industry, 2017, 32(5): 88-94. doi: 10.3969/j.issn.2096-1553.2017.5.012
Citation: ZHANG Yan-qiang, LI Zhe-qian and WANG Bo-han. Single training sample palmprint recognition method based on wavelet subbands fusion[J]. Journal of Light Industry, 2017, 32(5): 88-94. doi: 10.3969/j.issn.2096-1553.2017.5.012 shu

Single training sample palmprint recognition method based on wavelet subbands fusion

  • Received Date: 2017-03-29
    Available Online: 2017-09-15
  • In view of the poor performance of the present most palmprint recognition for single training sample system,a principal components analysis method for single training sample palmprint recognition was presented,which combined multi-subbands of wavelet transformation.This method combined wavelet low frequency subband with horizontal and vertical subbands to identify.Low-pass filter was utilized to enhance the robustness of horizontal and vertical subbands,and the summation operator was used to fuse their matching scores.Experimental results showed that for single training sample palmprint recognition the average recognition rate of the proposed method was 89.93%,which was 6%~9% higher than some of the traditional algorithms.
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