Research Article
Comparison of Different Neural Network Training Algorithms with Application to Face Recognition
@ARTICLE{10.4108/eai.10-1-2018.153550, author={A. Vulovic and T. Sustersic and A. Peulic and N. Filipovic and V. Rankovic}, title={Comparison of Different Neural Network Training Algorithms with Application to Face Recognition}, journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems}, volume={4}, number={12}, publisher={EAI}, journal_a={INIS}, year={2018}, month={1}, keywords={face recognition, neural network, Eigenface algorithm.}, doi={10.4108/eai.10-1-2018.153550} }- A. Vulovic
T. Sustersic
A. Peulic
N. Filipovic
V. Rankovic
Year: 2018
Comparison of Different Neural Network Training Algorithms with Application to Face Recognition
INIS
EAI
DOI: 10.4108/eai.10-1-2018.153550
Abstract
Research in the field of face recognition has been popular for several decades. With advances in technology, approaches to solving this problems haves changed. Main goal of this paper was to compare different training algorithms for neural networks and to apply them for face recognition as it is a nonlinear problem. Algorithm that we have used for face recognition problem was the Eigenface algorithm that belongs to the Principal Component Analysis (PCA) algorithms. Percentage of recognition for all the used training functions is above 90%.
Copyright © 2018 Author et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
