Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33709
Title: Bi-dierectional PCA with assembled matrix distance metric
Authors: Zuo, W
Wang, K
Zhang, D 
Keywords: 2DPCA
Face recognition
Image recognition
Palmprint recognition
PCA
Issue Date: 2005
Source: Proceedings - International Conference on Image Processing, ICIP, 2005, v. 2, 1530216, p. 958-961 How to cite?
Abstract: Principal Component Analysis (PCA) has been very successful in image recognition. Recent researches on PCAbased methods are mainly concentrated on two issues, feature extraction and classification. In this paper we propose BiDirectional PCA (BDPCA) with assembled matrix distance (AMD) metric to simultaneously deal with these two issues. For feature extraction, we propose a BDPCA approach which can reduce the dimension of the original image matrix in both column and row directions. For classification, we present an AMD metric to calculate the distance between two feature matrices. The results of our experiments show that, BDPCA with AMD metric is very effective in image recognition.
Description: IEEE International Conference on Image Processing 2005, ICIP 2005, Genova, 11-14 September 2005
URI: http://hdl.handle.net/10397/33709
ISBN: 0780391349
9780780391345
ISSN: 1522-4880
DOI: 10.1109/ICIP.2005.1530216
Appears in Collections:Conference Paper

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