Face Recognition Method Based on Fuzzy 2DPCA
Author
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-15
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
2DPCA, which is one of the most important face recognition methods, is relatively sensitive to substantial variations in light direction, face pose, and facial expression.
In order to improve the recognition performance of the traditional 2DPCA, a new 2DPCA algorithm based on the fuzzy theory is proposed in this paper, namely, the fuzzy 2DPCA (F2DPCA).
In this method, applying fuzzy K-nearest neighbor (FKNN), the membership degree matrix of the training samples is calculated, which is used to get the fuzzy means of each class.
The average of fuzzy means is then incorporated into the definition of the general scatter matrix with anticipation that it can improve classification result.
The comprehensive experiments on the ORL, the YALE, and the FERET face database show that the proposed method can improve the classification rates and reduce the sensitivity to variations between face images caused by changes in illumination, face expression, and face pose.
American Psychological Association (APA)
Li, Xiaodong. 2014. Face Recognition Method Based on Fuzzy 2DPCA. Journal of Electrical and Computer Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1040535
Modern Language Association (MLA)
Li, Xiaodong. Face Recognition Method Based on Fuzzy 2DPCA. Journal of Electrical and Computer Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1040535
American Medical Association (AMA)
Li, Xiaodong. Face Recognition Method Based on Fuzzy 2DPCA. Journal of Electrical and Computer Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1040535
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1040535