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A Comparative study of Face Recognition with Principal Component Analysis and Cross-Correlation Technique

International Journal of Computer Applications
© 2010 by IJCA Journal
Number 8 - Article 4
Year of Publication: 2010
Srinivasulu Asadi
Dr.Ch.D.V.Subba Rao

Srinivasulu Asadi, Dr.Ch.D.V.Subba Rao and V.Saikrishna. Article:A Comparative study of Face Recognition with Principal Component Analysis and Cross-Correlation Technique. International Journal of Computer Applications 10(8):17–21, November 2010. Published By Foundation of Computer Science. BibTeX

	author = {Srinivasulu Asadi and Dr.Ch.D.V.Subba Rao and V.Saikrishna},
	title = {Article:A Comparative study of Face Recognition with Principal Component Analysis and Cross-Correlation Technique},
	journal = {International Journal of Computer Applications},
	year = {2010},
	volume = {10},
	number = {8},
	pages = {17--21},
	month = {November},
	note = {Published By Foundation of Computer Science}


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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