Academic Journals Database
Disseminating quality controlled scientific knowledge

HUMAN FACE RECOGNITION BY PSEUDO ZERNIKE MOMENT AND PROBABILISTIC NEURAL NETWORK

ADD TO MY LIST
 
Author(s): ESMAEEL FATEMI BEHBAHANI | AZADEH BASTANI

Journal: International Journal of Engineering Science and Technology
ISSN 0975-5462

Volume: 3;
Issue: 7;
Start page: 5466;
Date: 2011;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: face recognition | orthogonal moments | Neural Networks

ABSTRACT
In this paper a new face recognition method has been introduced. By this method face features have been extracted by pseudo-Zernike moments (PZM).Then a probabilistic neural network has applied to classify thesemoments as feature vectors. Moment features are invariant under scaling, translation, rotation and reflection. Probabilistic Neural Networks have fast computational time. Results show that PZM of order of 14 with PNN have the best performance among all the moments

Tango Jona
Tangokurs Rapperswil-Jona

     Affiliate Program