Face Detection Technique by Gabor Feature and Kernel Principal Component Extraction Using K-NN Classifier with Varying Distance
- Khushboo Bhatt
- Mr. Rishi Kumar Soni
Gabor filter, Kernel Principal Component Analysis, K-NN Classifier, ORL Dataset, Polynomial Kernel Function, Cos Distance.
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.
Khushboo Bhatt, Mr. Rishi Kumar Soni. "Face Detection Technique by Gabor Feature and Kernel Principal Component Extraction Using K-NN Classifier with Varying Distance".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 1, pp.95-98, URL :https://rjwave.org/ijedr/papers/IJEDR1501020.pdf
Volume 3 Issue 1
Pages. 95-98
