Title :
Face recognition using PCA-based method
Author :
Karim, Tahia Fahrin ; Lipu, Molla Shahadat Hossain ; Rahman, Lushanur ; Sultana, Faria
Author_Institution :
Electr. & Electron. Eng. Dept., Primeasia Univ., Dhaka, Bangladesh
Abstract :
The objective of this paper is to develop the image processing and recognize the faces using PCA-based face recognition technique. MATLAB based programs are implemented to identify the faces using Indian databases and the Face recognition data, University of Essex, UK. For matching unknown images with known images, different techniques like sum of absolute difference (SAD), sum of squared difference (SSD), normalized cross correlation (NCC) etc. can be used which has been shown in this paper. Finally, it has been shown that the performance of PCA-based face recognition system is quite satisfactory instead of having some shortcomings of the system.
Keywords :
face recognition; image matching; independent component analysis; principal component analysis; Indian databases; MATLAB based programs; PCA-based method; face recognition technique; image matching; image processing; independent component analysis; normalized cross correlation; peak signal to noise ratio; sum of absolute difference techniques; sum of squared difference techniques; Covariance matrix; Databases; Face recognition; Image recognition; PSNR; Principal component analysis; Independent Component Analysis (ICA); Linear Discriminant Analysis (LDA); Normalized Cross Correlation (NCC); Peak Signal to Noise ratio (PSNR); Principle Component Analysis (PCA); Sum of Absolute Difference (SAD); Sum of Squared Difference (SSD);
Conference_Titel :
Advanced Management Science (ICAMS), 2010 IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6931-4
DOI :
10.1109/ICAMS.2010.5553266
