Limited person face recognition by Principal Component Analysis (PCA) and Histogram
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Abstract
Face recognition system is a computer application which automatically identifies person from digital image from source. Face recognition involves: Face detection, feature extraction and matching with database images. Face is detected from images by using Viola-Jones algorithm using MATLAB, and some features like eye, nose and mouth are also extracted. Then face is recognized by PCA method by using latent and in Histogram method by using median value by comparing it with stored database of the images.
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How to Cite This Article
Mandaliya Keval, Prof. Janak Trivedi, Barad Amit (2015); Limited person face recognition by Principal Component Analysis (PCA) and Histogram, Int. J. of Adv. Res., 3 (01), 0, ISSN 2320-5407.
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This work is licensed under a Creative Commons Attribution 4.0 International License.





