A hybrid learning RBF neural network for human face recognition with pseudo Zernike moment invariant

Author

Haddadnia, Javad ; Ahmadi, Majid ; Faez, Karim

Author_Institution

ECE Dept., Windsor Univ., Ont., Canada

Volume

1

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

11

Lastpage

16

Abstract

Introduces a method for the recognition of human faces in 2-dimensional digital images using a new hybrid learning algorithm (HLA) for radial basis function (RBF) neural network as classifier and pseudo Zernike moment invariant (PZMI) as face feature. Also we evaluate the effect of orders of the PZMI on recognition rate, in the proposed technique. Simulation has been carried out on the face database of Olivetti Research Laboratory (ORL) and recognition rate of 98.7% is obtained using this proposed technique

Keywords

Zernike polynomials; face recognition; feature extraction; image classification; learning (artificial intelligence); radial basis function networks; 2D digital images; face feature; human face recognition; hybrid learning RBF neural network; pattern classifier; pseudo Zernike moment invariant; recognition rate; Digital images; Face detection; Face recognition; Feature extraction; Feedforward neural networks; Feeds; Function approximation; Humans; Java; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on

Conference_Location

Honolulu, HI

ISSN

1098-7576

Print_ISBN

0-7803-7278-6

Type

conf

DOI

10.1109/IJCNN.2002.1005434

Filename

1005434