期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：9
页码：8296
DOI：10.15680/IJIRSET.2015.0409041
出版社：S&S Publications
摘要：This paper proposes two algorithms (k-mean clustering and back propagation) for palm recognition ofan individual using geometrical and texture features. Palmprint recognition being one of the important aspects ofbiometric technology is one of the most reliable and successful identification methods. Thus palmprint recognition is avery interesting research area. In this study algorithm is proposed to extract geometrical features and principal lines astexture feature and result is compared in both cases. The database is taken from www.coep.org.in andhttp://www4.comp.polyu.edu.hk/~csajaykr/IITD/Database_Palm.htm for processing. MATLAB with version7.10.0.499 (R2010a) 32 bits will be used to implement the proposed work. In the case of k-mean clustering result is95.65% and recognition time is 0.10. On the other hand in BP-ANN result is 93.47% and recognition time is 0.8.
