International Journal of Electrical and Power Engineering
ISSN: Online 1993-6001ISSN: Print 1990-7958
Abstract
Facial recognition plays an important role in the field of forensic science. Different methods have been proposed by many researchers. In the present day, intelligent facial recognition is very much required. This is due to the fact that, facial masks are used by culprits. After extracting features of a face, intelligent algorithms like artificial neural network can be used to correctly identify a true face. The neural network algorithm proposed is Echostate Neural Network (ESNN). The inputs for the ESNN are the outputs obtained after processing the following methods especially, principal component analysis, Fisher’s Linear Discriminant Function (FLD). The recognition performance of ESNN has been compared with that of Radial Basis Function (RBF). In spite of the normal performance exhibited by RBF, ESNN gives promising results when the inputs are distorted.
How to cite this article:
Srinivasa Rao Madane , Wahidha Banu , Purushothaman Srinivasan and Srinivasa Rao Madane . Implementation of Echostate Neural Network for Facial Recognition.
DOI: https://doi.org/10.36478/ijepe.2007.286.294
URL: https://www.makhillpublications.co/view-article/1990-7958/ijepe.2007.286.294