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Neural Networks for the Classification of Facial Features  (Make Corrections)  
N.D. Porter



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Abstract: Artificial neural networks (ANNS) are applied to the classification of facial features from digitised images of faces. From a set of 1000 faces, sections of images detailing specific features are extracted and presented to the ANNS which classify the features. The positions of the features in question are known and are used to locate the appropriate image section. Potential is shown for this technique with best results between 87% and 98% for the different features examined. 1. Introduction... (Update)

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BibTeX entry:   (Update)

@misc{ porter-neural,
  author = "N.D. Porter",
  title = "Neural Networks for the Classification of Facial Features",
  url = "citeseer.ist.psu.edu/18384.html" }
Citations (may not include all citations):
250   Face recognition: Features versus templates (context) - Brunelli, Poggio - 1993
230   Application of the Karhunen--Lo`eve procedure for the charac.. (context) - Kirby, Sirovich - 1990
121   Automatic recognition and analysis of human faces and facial.. (context) - Samal, Iyengar - 1992
28   Automatic extraction of face-features (context) - Craw, Ellis et al. - 1987
11   Human face profile recognition by computer (context) - Wu, Huang - 1990
4   Automatic face recognition (context) - Sutherland, Renshaw et al. - 1992
2   Neural nets for human face recognition (context) - Bouattour, Souli'e et al. - 1992
1   Bit-mapped graphics (context) - Rimmer - 1993
1   An interactive computer system for retreiving faces (context) - Shepherd - 1985

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