Situation invariant Face Recognition using Neural Networks

Autor: Prof. Suryawanshi Rupali Vithalrao, Prof. Kazi Kutubuddin Sayyad Liyakat
Jazyk: angličtina
Rok vydání: 2019
Předmět:
ISSN: 2456-6470
Popis: 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
Databáze: OpenAIRE