Face recognition is always a hot topic in research. In this paper, we represent a robust method of face recognition using gabor feature extraction, kernel PCA and K-NN classifier. Gabor features are calculated for each face images then it’s polynomial kernel function is calculated, it is directly applied to the K-NN classifier. The effectiveness of the proposed method is demonstrated by the experimental results on testing large number of images. The result shows good recognition rate. The proposed method uses ORL database. Keyword Gabor filter, Kernel Principal Component Analysis, K-NN Classifier, ORL Dataset, Polynomial Kernel Function, Cos Distance. ________________________________________________________________________________________________________

https://www.ijedr.org/download.php?file=IJEDR1501020.pdf

nbspKhushboo Bhatt

Papers

Face Detection Technique by Gabor Feature and Kernel Principal Component Extraction Using K-NN Classifier with Varying Distance