ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Situation invariant Face Recognition using Neural Networks

Journal: International Journal of Trend in Scientific Research and Development (Vol.2, No. 4)

Publication Date:

Authors : ;

Page : 995-998

Keywords : PCA; NN; EPOCH; Eigenvalue; Eigen Vector;

Source : Downloadexternal Find it from : Google Scholarexternal

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: http://www.ijtsrd.com/papers/ijtsrd14162.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/14162/situation-invariant-face-recognition-using-neural-networks/prof-suryawanshi-rupali-vithalrao

Last modified: 2018-08-01 20:46:49