Title :
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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005434
