Extraction and Recognition of Nonlinear Interval-Type Features Using Symbolic KDA Algorithm with Application to Face Recognition
Joint Authors
Hiremath, P. S.
Prabhakar, C. J.
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-03-25
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Information Technology and Computer Science
Abstract EN
We present symbolic kernel discriminant analysis (symbolic KDA) for face recognition in the framework of symbolic data analysis.
Classical KDA extracts features, which are single-valued in nature to represent face images.
These single-valued variables may not be able to capture variation of each feature in all the images of same subject; this leads to loss of information.
The symbolic KDA algorithm extracts most discriminating nonlinear interval-type features which optimally discriminate among the classes represented in the training set.
The proposed method has been successfully tested for face recognition using two databases, ORL database and Yale face database.
The effectiveness of the proposed method is shown in terms of comparative performance against popular face recognition methods such as kernel Eigenface method and kernel Fisherface method.
Experimental results show that symbolic KDA yields improved recognition rate.
American Psychological Association (APA)
Hiremath, P. S.& Prabhakar, C. J.. 2008. Extraction and Recognition of Nonlinear Interval-Type Features Using Symbolic KDA Algorithm with Application to Face Recognition. Journal of Electrical and Computer Engineering،Vol. 2008, no. 2008, pp.1-5.
https://search.emarefa.net/detail/BIM-988046
Modern Language Association (MLA)
Hiremath, P. S.& Prabhakar, C. J.. Extraction and Recognition of Nonlinear Interval-Type Features Using Symbolic KDA Algorithm with Application to Face Recognition. Journal of Electrical and Computer Engineering No. 2008 (2008), pp.1-5.
https://search.emarefa.net/detail/BIM-988046
American Medical Association (AMA)
Hiremath, P. S.& Prabhakar, C. J.. Extraction and Recognition of Nonlinear Interval-Type Features Using Symbolic KDA Algorithm with Application to Face Recognition. Journal of Electrical and Computer Engineering. 2008. Vol. 2008, no. 2008, pp.1-5.
https://search.emarefa.net/detail/BIM-988046
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-988046