Volume & Issue no: Volume 4, Issue 3, May - June 2015
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Title: |
A Novel Approach to Face Recognition using Split PCA |
Author Name: |
Deepali H. Shah, Dr. J. S. Shah |
Abstract: |
Abstract
Human face recognition has attracted significant
consideration as one of the most effective applications of
image analysis and understanding. Face recognition provides
us a convenient way to identify and recognize a person in a
large database. Lighting condition changes, facial
expressions, and pose variations complicate the face
recognition. This paper will present a novel approach for
solving face recognition problem. Our method modifies
Principal Component Analysis (PCA) method as Split PCA
and uses Support Vector Machine (SVM) classifier with
constant hyperplane. The experiments of the proposed
method have been conducted on ORL data sets. The
experiment result is presented and discussed, which shows the
effectiveness of the strategy described.
Keywords: PCA, SVM, hyperplane, eigenfaces |
Cite this article: |
Deepali H. Shah, Dr. J. S. Shah , "
A Novel Approach to Face Recognition using Split PCA " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 3, May - June 2015 , pp.
130-132 , ISSN 2278-6856.
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