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Situation invariant Face Recognition using Neural Networks

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Situation invariant Face Recognition using Neural Networks


Prof. Suryawanshi Rupali Vithalrao | Prof. Kazi Kutubuddin Sayyad Liyakat


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, pp.995-998, URL: https://www.ijtsrd.com/papers/ijtsrd14162.pdf

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.

PCA, NN, EPOCH, Eigenvalue, Eigen Vector


IJTSRD14162
Volume-2 | Issue-4, June 2018
995-998
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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