Call For Paper Volume:4 Issue:8 Aug'2017 |

A Matlab based Face Recognition GUI system Using Principal Component Analysis and Artificial Neural Network

Publication Date : 02/04/2016



Author(s) :

Achala Khandelwal , Jaya Sharma.


Volume/Issue :
Volume 3
,
Issue 3
(04 - 2016)



Abstract :

Today, Face recognition has an important application in artificial intelligence of biometrics. The research continues to develop an efficient Face recognition system. The goal of this paper is to develop a Face recognition system which is less sensitive to variations in pose, illumination and facial expressions. The Face recognition system mainly consists of two steps: the extraction of feature and the recognition. In the proposed technique, feature extraction is being done with the help principal component analysis and back-propagation neural network has been used for the recognition step. An unknown face has been taken from the test database and then PCA and ANN techniques are used to recognize the test face image from our train database face images. The system has been examined on Olivetti and Oracle Research Laboratory (ORL) face database and the results have been shown.


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A Matlab based Face Recognition GUI system Using Principal Component Analysis and Artificial Neural Network

March 23, 2016