International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
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BImplementation of High Speed Face Recognition Based on Karhunen Loeve Transform and Fisher’s Discriminant, Radial Basis Function of Echo State Neural Network
Srinivasa Rao Madane , Wahidha Banu , Purushothaman Srinivasan and S. Chandra Rao Madane
Page: 248-253 | Received 21 Sep 2022, Published online: 21 Sep 2022
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Abstract
Recently proposed approach to recognitize facial expressions have been proposed Jager with the so called Echo State Neural Network (ESNN). The ESSN approach assumes a sort of "block box" operability of the network and clients a broad applicability to several different problems using same principle, here we proposes a simplified version of ESNN which we call a simple echo state network which exhibits good results in memory capacity and facial matching and recognition which allows a better understating of the capability and restriction of ESNN. ESSN gives promising result when the input are distorted. Simulation results show that a proposed system (ESNN) achieves a excellent performance with high training and recognition speed.
How to cite this article:
Srinivasa Rao Madane , Wahidha Banu , Purushothaman Srinivasan and S. Chandra Rao Madane . BImplementation of High Speed Face Recognition Based on Karhunen Loeve Transform and Fisher’s Discriminant, Radial Basis Function of Echo State Neural Network.
DOI: https://doi.org/10.36478/ijscomp.2008.248.253
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2008.248.253