Coefficients Co-occurrence Histogram of DWFT Based Feature Eztration with ONPP for Face Recognition

摘要：

The important step of face recognition based on subspace method is to obtain powerful features. In this paper, we propose a novel feature extraction technique based on discrete wavelet frame transform (DWFT), which capture the information about relationship between each high frequency subband and the low frequency subband of the decomposed image at the corresponding level. In the feature space, we use orthogonal neighborhood preserving profections (ONPP) algorithm to reduce dimension, experimental results show that the proposed algorithm is effective in face recognition. Comparisons with the other approachs are also provided.

关键词： coefficients co-occurrence histogram DWFT ONPP feature eztraction face recognition

作者: Xiaoshan Liu Minghui Du Lianwen Jin

作者单位: School of Electronic and Information Engineering South China University of Technology Guangzhou,Chin School of Electronic and Information Engineering South China University of Technology,Guangzhou,Chin

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 2559-2562

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）