@inproceedings{5bb6d415c793414abb948c02ad48e45c,
title = "Face recognition using DT-CWT feature-based 2DIFDA",
abstract = "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.",
keywords = "2DIFDA, DT-CWT, Face Recognition, Feature Extraction",
author = "Zhongxi Sun and Changyin Sun and Jifeng Shen and Wankou Yang",
year = "2011",
language = "英语",
isbn = "9789881725592",
series = "Proceedings of the 30th Chinese Control Conference, CCC 2011",
pages = "3140--3145",
booktitle = "Proceedings of the 30th Chinese Control Conference, CCC 2011",
note = "30th Chinese Control Conference, CCC 2011 ; Conference date: 22-07-2011 Through 24-07-2011",
}