Abstract :
Here we consider human face as biometric. Original method of feature extraction from image data is introduced using feed forward Neural Network multilayer perceptron and PCA principal component analysis . This method is used in human face recognition system and results are compared to face recognition system using PCA directly, to a system with direct classification of input images by NN a network, and to a system using PCA as a feature extractor and NN network in the role of classifier. Prof. Suryawanshi Rupali Vithalrao | Prof. Kazi Kutubuddin Sayyad Liyakat "Situation invariant Face Recognition using Neural Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14162.pdf Paper URL: http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/14162/situation-invariant-face-recognition-using-neural-networks/prof-suryawanshi-rupali-vithalrao
Keyword :
PCA, NN, EPOCH, Eigenvalue, Eigen Vector