QIN Xu-liang, WU Qing-e, HAN Zhen-yu and et al. Palmprint identification method studying using multilayer wavelet transformation based on different wavelet basis functions[J]. Journal of Light Industry, 2011, 26(3): 29-32. doi: 10.3969/j.issn.1004-1478.2011.03.008
Citation:
QIN Xu-liang, WU Qing-e, HAN Zhen-yu and et al. Palmprint identification method studying using multilayer wavelet transformation based on different wavelet basis functions[J]. Journal of Light Industry, 2011, 26(3): 29-32.
doi:
10.3969/j.issn.1004-1478.2011.03.008
Palmprint identification method studying using multilayer wavelet transformation based on different wavelet basis functions
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College of Electr. and Infor. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou 450002, China;
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Dept. of Electr. Eng., Zhangjiakou Voc. Tech. College, Zhangjiakou 075000, China
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Corresponding author:
WU Qing-e,
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Received Date:
2011-03-08
Available Online:
2011-05-15
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Abstract
The palmprint image is preprocessed and divided the region of interesting (ROI) by the geometric profile of a palm.Then,basing on different wavelet basis functions,the ROI is transformed by the multilayer wavelet transformation respectively,and these different wavelet energy features are extracted later.The recognition ability of different wavelet basis functions is obtained by calculating the recognition rate under different wavelet basis functions and different levels of transformation.Comparing with previous algorithms,the experimental results show that this method has better recognition effect.
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References
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Proportional views
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