Face recognition with DWT and Two-dimensional Principal Component Analysis

摘要：

In this paper, we propose a method forrecognizing face images by combining wavelet decomposition and two-dimensional Principal Component Analysis (2DPCA). 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 2DPCA 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 Principal Component Analysis

作者: Yin Hongtao Fu Ping Meng Shengwei

作者单位: Department of Automatic Test and Control,Harbin Institute of Technology,150080 China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）