Face recognition based on wavelet transform and two-dimensional LDA

摘要：

In this paper, we propose a method for recognizing face images by combining wavelet decomposition and two-dimensional linear discrimination analysis (2DLDA). The first stage uses the wavelet decomposition that extracts intrinsic features of face images. In wavelet multi-resolution decomposition of images, an image is split into approximation and details in horizontal, vertical, and diagonal directions. The second stage of the method concerns the application of the 2DLDA method to the approximation image. The discriminative features in the corner are use to classify the face image. The experiment results show that the proposed method is more effective than several representative wavelet.

关键词： face recognition wavelet transform two-dimensional linear discrimination analysis

作者: YIN Hongtao FU Ping QIAO Jiaqing

作者单位: Department of Automatic Test and Control, Harbin Institute of Technology, China

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）