A Trace Transform based on subspace method for Face Recognition

摘要：

A novel combination of Trace transform and subspace method is proposed for face recognition in this paper. This method is a general framework which can be used in most tasks of images classification. We extract a number of characteristic features from facial images through taking Trace transform over a set of angular directions. By using different Trace functional we can get different features. The Trace transform features are projected into a lower dimensional facial subspace using linearity distinction analysis. And we use nearest neighbor rule and Euclidean distance to classify. The experimental results demonstrate that the proposed method has better average recognition rate than PCA, LDA and Gabor feathers, and has strong robustness to noise.

关键词： trace transform feature extraction face recognition subspace

作者: Zhan Shi Minghui Du Rongbing Huang

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

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 170-172

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）