PCA Based Robust Face Recognition Using Eigenface |
Author(s): |
| Prof. Virendrasingh , Sagar Institute of Research & Technology, Bhopal, Madhya Pradesh, India; Ankit B. Shah, Sagar Institute of Research & Technology, Bhopal, Madhya Pradesh, India |
Keywords: |
| Eigen faces, PCA, Face recognition, Image processing. |
Abstract |
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Face recognition systems is a field of multidimensional application, so it has been grabbing high attention from pattern recognition field. It also stands high in researcher's community. Face recognition have been fast growing, challenging and interesting area in real-time applications. A large number of face recognition algorithms have been developed from decades. The present paper refers to different face recognition approaches and primarily focuses on principal component analysis, for the analysis and the implementation is done in free software, Matlab. This face recognition system detects the faces in a picture taken by web-cam or a digital camera, and these face images are then checked with training image dataset based on descriptive features. Descriptive features are used to characterize images. Matlab's Image Processing toolbox is used for performing the image analysis. |
Other Details |
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Paper ID: IJSRDV1I11003 Published in: Volume : 1, Issue : 11 Publication Date: 01/02/2014 Page(s): 2332-2335 |
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