Palmprint Recognition Using Generalized Discriminant Analysis

摘要：

This paper presents a novel palmprint recognition approach based on Generalized Discriminant Analysis (GDA). The method uses GDA to extract palmprint features for palmprint recognition. GDA project palmprint images from a high-dimensional input space to a lower dimensional feature space, in which the palmprints from the different palms can be discriminated much more efficiently. The experiment results show that low equal error rate 0.36% has been obtained by the proposed method.

作者: Pengfei Yu Dan Xu

作者单位: School of Information, Yunnan University, Kunming 650091, China

会议类型: 国际会议

会议名称: 2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

会议地点: 镇江

会议语种:英文

页码: 1517-1521

在线出版日期: 2008-07-07（万方平台首次上网日期，不代表论文的发表时间）