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Paper Details
Paper Title
Face Detection Technique by Gabor Feature and Kernel Principal Component Extraction Using K-NN Classifier with Varying Distance
Authors
Khushboo Bhatt, Mr. Rishi Kumar Soni
Abstract
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.
Keywords- Gabor filter, Kernel Principal Component Analysis, K-NN Classifier, ORL Dataset, Polynomial Kernel Function, Cos Distance.
Publication Details
Unique Identification Number - IJEDR1501020Page Number(s) - 95-98Pubished in - Volume 3 | Issue 1 | Jan 2015DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
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 (IJEDR), ISSN:2321-9939, Volume.3, Issue 1, pp.95-98, Jan 2015, Available at :http://www.ijedr.org/papers/IJEDR1501020.pdf
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