期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：2
页码：1-10
DOI：10.14257/ijsip.2015.8.2.01
出版社：SERSC
摘要：Sub patter algorithm does not consider the structure relationship between the same sample in different modes, it is difficult to accurately reveal the space features of the iris image, this paper proposes a iris recognition algorithm based on maximum margin criterion(MMC) and structure preserving projection (SPP). Firstly, the original high dimensional data is divided into several subsystems, and then SPP algorithm is used to reduce the iris feature dimension, the structural relationship between iris sample pattern collection manifold structure and the same sample of different pattern at the same time, finally, MMC function is introduced to improve the ability of classification algorithm by considering the iris category information, and the nearest neighbor classification algorithm is used to classify the iris image, and the recognition result of iris images is obtained by using the voting method. The performance of the algorithm is tested on CASIA 1.0 and CASIA 2.0 iris database, and the results show that the proposed algorithm has improved the recognition rate and recognition speed of iris image compared with the other algorithms
关键词：iris recognition; structure supervised preserving projection; maximum ; margin criterion; sub patter
