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Abstract: A neural network based face recognition system is presented in this paper. The system consists of two main procedures. The first one is face features extraction using Pseudo Zernike Moments (PZM) and the second one is face classification using Radial Basis Function (RBF) neural network. In this paper, some new results on face recognition are presented. Simulation results indicate that PZM with RBF neural network produce higher detection and lower missing rates than several existing... (Update)
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BibTeX entry: (Update)
@misc{ ph-human,
author = "Javad Haddadnia Ph",
title = "Human Face Recognition Using Radial Basis Function Neural Network",
url = "citeseer.ist.psu.edu/733714.html" }
Citations (may not include all citations):335 Neural Network based Face Detection - Rowley, Baluja et al. - 1998
238 Human and Machine Recognition of Faces: A Survey (context) - Chellappa, Wilson et al. - 1995
200 Training Support Vector Machines: An Application to Face Det.. - Osuna, Freund et al. - 1997
174 Face Recognition by Elastic Bunch Graph Matching - Wiskott, Fellous et al. - 1997
161 ANFIS: AdaptiveNetwork -Based Fuzzy Inference System - Jang - 1993
68 Face Recognition: A Convolutional Neural Networks Approach - Lawrence, Giles et al. - 1997
66 Human Face Detection in Complex Background (context) - Yang, Huang - 1994
14 Face Recognition Using the Nearest Feature Line Method - Li, Lu - 1999
6 Face and Gesture Recognition: Overview (context) - Daugman - 1997
2 Face Detection by Neural Learning (context) - Li, Lu - 1999
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