关键词: 数据降维, 人脸识别, 小波变换, 等距离映射

Abstract: In view of the disadvantages that Isometric mapping （Isomap） algorithm is unable to follow-up the test samples which are collected separately and to use dimensionality reduction, and Isomap algorithm does not make use of the classification of information sample point as well, a method was proposed to recognize the face using supervised incremental isometric mapping algorithm (SIIsomap), and combined wavelet transformation to pretreat the images. The experimental results based on ORL database show that SIIsomap algorithm compared with Isomap algorithm would greatly reduce calculation time in handling additional samples and improve recognition accuracy.

Key words: dimensionality reduction, face recognition, wavelet transform, isometric mapping