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Article:A Comparative study of Face Recognition with Principal Component Analysis and Cross-Correlation Technique
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 10 - Number 8 |
| Year of Publication: 2010 |
| Authors: Srinivasulu Asadi, Dr.Ch.D.V.Subba Rao, V.Saikrishna |
10.5120/1502-2019
|
Srinivasulu Asadi, Dr.Ch.D.V.Subba Rao, V.Saikrishna . Article:A Comparative study of Face Recognition with Principal Component Analysis and Cross-Correlation Technique. International Journal of Computer Applications. 10, 8 ( November 2010), 17-21. DOI=10.5120/1502-2019
Abstract
Automated face recognition has become a major field of interest. Face recognition algorithms are used in a wide range of applications viz., security control, crime investigation, and entrance control in buildings, access control at automatic teller machines, passport verification, identifying the faces in a given databases. This paper discusses different face recognition techniques by considering different test samples. The experimentation involved the use of Eigen faces and PCA (Principal Component Analysis). Another method based on Cross-Correlation in spectral domain has also been implemented and tested. Recognition rate of 90% was achieved for the above mentioned face recognition techniques.
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