Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 6 Issue 4
An Approach to Face Recognition Using Feed Forward Neural Network
Sajetha T , Samyama Gunjal GH
10.7753/IJCATR0604.1003
keywords : Face recognition, Neural network, Features extraction.
Many approaches have been proposed for face recognition but there are major constraints like illumination, lightning, pose etc when taken into consideration results in poor recognition rate. We propose a method to improve the recognition rate of the face recognition system which uses various methods like homogeneity, energy, covariance, contrast, asymmetry, correlation, mean, standard deviation, entropy, kurtosis to extract the facial features for a better recognition rate, also the extracted features are trained and it is associated with a feed forward back propagation neural network used for classification.
@artical{s642017ijcatr06041003,
Title = "An Approach to Face Recognition Using Feed Forward Neural Network",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "6",
Issue ="4",
Pages ="183 - 189",
Year = "2017",
Authors ="Sajetha T , Samyama Gunjal GH"}
The paper proposes the Face Recognition Using Feed Forward Neural Network
Feature Extraction Factors are discussed
Feed Forward Back propagation neural network is used
Simulated using MATLAB