A Improved Block 2DPCA Face Recognition Algorithm with L1-Norm

摘要：

Most of the existing Block 2DPCA algorithms are based on Frobenius norm, which makes them sensitive to outliers. In this paper, we propose a new improved Block 2DPCA algorithm with L1-norm, which is robust to outliers. The experimental results of FERET face database indicated that the recognition performance of new algorithm is superior to Block 2DPCA, more robust than Block 2DPCA.

关键词： block L1-norm 2DPCA robust

作者: Hao Zheng Lei Pan

作者单位: School of Mathematics and Information TechnologyNanjing XiaoZhuang UniversityNanjing, China School of Mathematics and Information Technology Nanjing XiaoZhuang University Nanjing, China

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 345-348

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）