期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：5
页码：339-348
DOI：10.14257/ijhit.2015.8.5.36
出版社：SERSC
摘要：In order to improve the recognition rate of ear, a novel ear recognition algorithm is proposed based on improved locally linear embedding algorithm. Firstly, the ear features are extracted by Gabor transform, and then the improved LLE is used to reduce dimensionality of features and select the optimal features of ear recognition, finally support vector machine is used to establish the classifier of human ear recognition, and the simulation experiment is carried out on USTB3 ear images. Compared with the reference methods, the proposed algorithm has obtained higher ear recognition rate, and the experimental results verify the effectiveness.
关键词：ear recognition; locally linear embedding; Gabor wavelets; support vector ; machine; features extraction
