Face Recognition Based Attendance Monitoring System |
Author(s): |
| Pramod Sonawane , S.N.D.COE &RC YEOLOA; Navandar R. K., S.N.D.COE& RC YEOLOA |
Keywords: |
| Face Recognition, Neural Network, Back Propagation, Principle Component Analysis, Histogram Equalization, Euclidean Distance |
Abstract |
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This paper is proposed the face recognition method using PCA with neural network back error propagation learning algorithm .In this paper a feature is extracted using principal component analysis and then classification by creation of back propagation neural network. We run our algorithm for face recognition application using principal component analysis, neural network and also calculate its performance by using the photometric normalization technique: Histogram Equalization and comparing with Euclidean Distance, and Normalized correlation classifiers. The system produces promising results for face verification and face recognition. Demonstrate the recognition accuracy for given number of input pattern. |
Other Details |
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Paper ID: IJSRDV5I60048 Published in: Volume : 5, Issue : 6 Publication Date: 01/09/2017 Page(s): 67-70 |
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