Face Recognition using PCA & Neural Network
Hemant Singh Mittal1, Harpreet Kaur2
1Er.Hemant Singh Mittal, Assistant Professor, Electronics and Communication Engineering Department, Yaadwindra College of Engineering and Technology Punjabi University, Patiala,India.
2Er.Harpreet Kaur, Assistant Professor ,Electronics and Communication Engineering Department, Yaadwindra College of Engineering and Technology Punjabi University, Patiala, India.
Manuscript received on April 11, 2013. | Revised Manuscript Received on April 12, 2013. | Manuscript published on April 25, 2013. | PP: 71-75 | Volume-1, Issue-6, April 2013. | Retrieval Number: F0266041613/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Face Recognition Scheme Based on Neural Network and PCA technique for the detection of the persons. I have used the PCA technique which involves a mathematical method that transforms a number of possibly correlated variables into a smaller number of uncorrelated variables called principal components. Pre-processing stage –In this stage the images are made zero-mean and unit- variance. Dimensionality Reduction stage: (PCA) – Input data is reduced to a lower dimension to facilitate classification. In this stage dimension are reduced. Classification stage – The reduced vectors output from PCA are applied to the BPNN classifier for the training of the data and used to obtain the recognized image. I got good results from this proposed algorithm, MATLAB platform is used on various images to detect.
Keywords: Program Component Analysis, Face detection, Eigen values, Back Propagation neural networks.