TY  - JOUR
T1  - BImplementation of High Speed Face Recognition Based on Karhunen Loeve Transform and Fisher’s Discriminant, Radial Basis Function of Echo State Neural Network
AU - , Srinivasa Rao Madane AU - , Wahidha Banu AU - , Purushothaman Srinivasan AU - , S. Chandra Rao Madane 
JO  - International Journal of Soft Computing
VL  - 3
IS  - 3
SP  - 248
EP  - 253
PY  - 2008
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2008.248.253
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2008.248.253
KW  - ESNN
KW  -RBF
KW  -RNN
KW  -ligh speed
KW  -face recognition
AB  - 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.
ER  -