A Comparative study of Face Recognition with Principal Component Analysis and Cross-Correlation Technique
Asadi Srinivasulu, Ch. D. V. Subba Rao, Vidya Saikrishna · International Journal of Computer Applications · 2010
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.