NEW FACE RECOGNITION METHOD BASED ON DWT/DCT COMBINED FEATURE SELECTION

摘要：

A new face recognition method is proposed based on DWT/DCT combined feature selection. The combination of the DWT and the DCT is used to extract features of face images. This reduces the dimension of the original face image and preserves the property of data distribution in the feature subspace. Then the support vector machine (SVM) based on the structural risk minimization principle is used to classify these feature vectors. The new strategy is tested on ORL face databases and the results demonstrate that it performs very well compared with other approaches.

关键词： Face recognition discrete wavelet transform discrete cosine transform support vector machine feature extraction binary tree

作者: MING YU GANG YAN QING-WEN ZHU

作者单位: School of Computer Science, Hebei University of Technology, Tianjin 300130, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 3233-3236

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）