Volume & Issue no: Volume 4, Issue 4, July - August 2015
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Title: |
Face Recognition Using Principal Component Analysis and Artificial Neural Network of Facial Images Datasets in Soft Computing
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Author Name: |
Suhas S.Satonkar, Vaibhav M.Pathak, Dr. Prakash B. Khanale |
Abstract: |
Abstract
Face Recognition is one of biometric techniques, to recognize
given face image using significant features of face. The paper
present a face recognition using Principal Component
Analysis and Two-Layer Feed Forward Neural Network
techniques used to recognition frontal and poses variation
images. The dimension of face image is reduced by the
Principal Component Analysis and gives feature vector of
images. The training and recognition is done by the Two-
Layer Feed-Forward Neural Network. The study highlights
the performance of neural network. The Two layer feed
forward NN applied on face 95 as a standard dataset and
Local Images taken by the variations of poses.The
performance of neural network is satisfactory and the
accuracy of recognition is 100%.
Keyword – Biometric, Face Recognition, Principal
Component Analysis, Eigenface, Artificial Neural
Network, Soft Computing. |
Cite this article: |
Suhas S.Satonkar, Vaibhav M.Pathak, Dr. Prakash B. Khanale , "
Face Recognition Using Principal Component Analysis and Artificial Neural Network of Facial Images Datasets in Soft Computing
" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 4, July - August 2015 , pp.
110-116 , ISSN 2278-6856.
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