Authors : Srinivasa Rao Madane , Wahidha Banu , Purushothaman Srinivasan and S. Chandra Rao Madane
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.
Srinivasa Rao Madane , Wahidha Banu , Purushothaman Srinivasan and S. Chandra Rao Madane , 2008. BImplementation of High Speed Face Recognition Based on Karhunen Loeve Transform and Fisher’s Discriminant, Radial Basis Function of Echo State Neural Network. International Journal of Soft Computing, 3: 248-253.