Comparison of PCA, LDA and GDA for Palmprint Verification

摘要：

In this paper, we have compared use of PCA (Principal components analysis) with two powerful feature extraction techniques LDA (Linear discriminant analysis) GDA (Generalized discriminant analysis) which have already been used in palmprint verification. For testing purpose 10 colorful whole-hand images of each hand of 43 persons are collected by a digital camera, namely, a small dataset of 860 images is built. The experimental results show that the best verification result is obtained with the GDA based method, whose average minimal total error rate is only 0.11％ on the dataset

关键词： PCA LDA GDA Palmprint recognition

作者: Pengfei Yu Pengcheng Yu Dan Xu

作者单位: Information School Yunnan University Kunming,China Computer Center Kunming University of Science and Technology,Kunming,China

会议类型: 国际会议

会议名称: 2010 International Conference on Information,Networking and Automation(2010 IEEE信息网络与自动化国际会议 ICINA 2010)

会议地点: 昆明

会议语种:英文

页码: 148-152

在线出版日期: 2010-10-17（万方平台首次上网日期，不代表论文的发表时间）