Title :
Neural network based face recognition with moment invariants
Author :
Haddadnia, Javad ; Faez, Karim ; Moallem, Payman
Author_Institution :
EE Dept., Amirkabir Univ. of Technol., Tehran, Iran
fDate :
6/23/1905 12:00:00 AM
Abstract :
This paper introduced an experimental evolution of the effectiveness of utilizing various moments as pattern features in human face technology. In this paper, we apply pseudo Zernike moments (PZM) for recognition of human faces in two-dimensional images, and we compare their performance with other type of moments. The moments that we have used are Zernike moments (ZM), pseudo Zernike moments (PZM) and Legendre moments (LM). We have used shape information for human face localization, also we have used a radial basis function (RBF) neural network as a classifier for this application. The performance of classification is dependent on the moment order as well as the type of moment invariant, but the classification error rate was below %10 in all cases. Simulation results on the face database of Olivetti Research Laboratory (ORL) indicate that high order degree pseudo Zernike moments contain very useful information about face recognition process, while low order degree moments contain information about face expression
Keywords :
Zernike polynomials; face recognition; feature extraction; image classification; image segmentation; radial basis function networks; Legendre moments; Olivetti Research Laboratory face database; RBF neural network; Zernike moments; Zernike polynomials; classification error rate; classifier; face segmentation; feature extraction; human face localization; human face technology; moment invariants; neural network based face recognition; pattern features; pseudo Zernike moments; radial basis function neural network; shape information; two-dimensional images; Data mining; Error analysis; Face detection; Face recognition; Feature extraction; Humans; Image recognition; Neural networks; Pattern recognition; Shape;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.959221
