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《Journal of Suzhou Vocational University》 2010-03
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Survey of Feature Extraction Algorithms in Palmprint Recognition

ZHANG Yu,SHANG Li (Department of Electronic Information Engineering,Suzhou Vocational University,Suzhou 215104,China)  
The extraction of palmprint features is the most crucial step in palmprint recognition. The recognition rate and efficiency of the system is heavily dependent on the choice of the feature extraction algorithm.Based on publications in recent years,the algorithms of palmprint feature extraction are classified according to the analysis and description methods.The mainstream algorithms are analyzed and compared.It is concluded that the multi-feature fusion method is the promising direction for further research.
【Fund】: 国家自然科学基金资助项目(60970058);; 江苏省自然科学基金资助项目(BK2009131)
【CateGory Index】: TP391.41
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