Face Recognition Using DT-CWT Feature-based 2DIFDA

摘要：

This paper introduces a novel DT-CWT feature-based Two-dimensional Inverse FDA (2DIFDA)by integrating the Dual-Tree Complex Wavelet Transform (DT-CWT)of face images and 2DIFDA method for face recognition.The DT-CWT has approximate shift invariance,good directional selectivity and can provide effective feature representation for face images.In the proposed method,DT-CWT is first used to extract the face image features at different scales and orientations.2DIFDA is then applied for feature selection and dimensionality reduction in the DT-CWT feature space. Experimental results on ORL and FERET face databases demonstrate the feasibility of the new method.

作者: SUN Zhongxi SUN Changyin SHEN Jifeng YANG Wankou

作者单位: School of Automation,Southeast University,Nanjing 210096,P.R.China College of Science,Hohai Universi School of Automation,Southeast University,Nanjing 210096,P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-6

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）