期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2012
卷号：4
期号：6
页码：97
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Personal identification using 2D ear images still has many problems such as occlusion mostly caused byhair, earrings, and clothes. To avoid this problem, we propose to divide the ear image into non-overlappingequal divisions and identify persons through these non-occluded parts separately and then combine outputsof the classification of these parts in abstract, rank, and measurement level fusion. Experimental resultsshow that the increasing of recognition rate through combining small parts of non-occluded divisions ofear image.
