Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25251
Title: Face recognition method using hybrid feature
Authors: Su, H
Feng, D
Wang, X
Zhao, R
Keywords: Face recognition
Feature extraction
Principal component analysis
Visual databases
Issue Date: 2003
Publisher: IEEE
Source: 2003 International Conference on Machine Learning and Cybernetics : proceedings, November 2-5, 2003, Sheraton Hotel, Xi'an, China, p. 436-440 How to cite?
Abstract: A two-stage face recognition algorithm is proposed. In the first stage, the mutual information match is applied to reduce the candidate pattern amount in the database. In the second stage, the principal component analysis (PCA) and linear discriminant analysis (LDA) are applied to the probe image to extract the corresponding features, which will be used in classification. The approach is tested on ORL database, Shimon database and Harvard database. The experimental results demonstrate that the performance of this system is superior to other algorithms on the same database.
URI: http://hdl.handle.net/10397/25251
ISBN: 0-7695-1957-1
DOI: 10.1109/ICCIMA.2003.1238165
Appears in Collections:Conference Paper

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