%0 Journal Article
%T An kind of iris recognition algorithm based on 2D-PLDA and wavelet subband<br>一种基于2D-PLDA和小波子带的虹膜识别算法
%A Wang Xianghai
%A Dong Qinke
%A <br>王相海
%A 董钦科
%J 中国图象图形学报
%D 2011
%I 
%X In the last few years linear Discriminant Analysis(LDA)become more popular.But small sample size problem(SSSP) is always the biggest problem to perform it.In order to overcome this shortcoming,2D-LDA is proposed. We improve 2D-PLDA by Pre-Clustering,which can make the distribution matrix precisely;then a new iris recognition arithmetic is proposed which is combined with 2D-PLDA and wavelet transform.In the experiment,preprocessing was performed at first,then we extract the feature vector from the known class sample by 2D-PLDA and wavelet.In the validation step,we use Euclidean distance and Hamming distance to find the K-nearest neighbor to decide which class the unknown sample belongs to.From the experiment result,we can conclude that,the proposed arithmetic can achieve higher recognition rate than traditional LDA and 2D-LDA, also the new arithmetic is simple in calculation. We use the different subbands as the input space of 2D-PLDA,so the robustness is enhanced.
%K iris recognition
%K 2D-LDA
%K 2D-PLDA
%K wavelet subband
%K feature matrix<br>虹膜识别
%K 2D-LDA
%K 2D-PLDA
%K 小波子带
%K 特征矩阵
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=395AB4679FAE5CD7896757DC9BCCAC3E&yid=9377ED8094509821&vid=7801E6FC5AE9020C&iid=CA4FD0336C81A37A&sid=6AC2A205FBB0EF23&eid=8BD23BD67BF01A5C&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=30