DocumentCode
1368360
Title
Identification of complex shapes using a self organizing neural system
Author
Sabisch, Theo ; Ferguson, Alistair ; Bolouri, Hamid
Author_Institution
Eng. Res. & Dev. Centre, Hertfordshire Univ., Hatfield, UK
Volume
11
Issue
4
fYear
2000
fDate
7/1/2000 12:00:00 AM
Firstpage
921
Lastpage
934
Abstract
We present a multilayer hierarchical neural system for automatic classification of complex contour patterns. The system consists of a neocognitron-like network structure combined with self-organizing maps to automatically determine feature classes. We present results showing that multilayer hierarchical networks are able to tolerate pattern distortion considerably better than standard neural network implementations
Keywords
edge detection; feature extraction; feedforward neural nets; pattern classification; self-organising feature maps; complex shape recognition; contour recognition; feature extraction; multilayer hierarchical neural network; pattern classification; self organizing maps; Anatomical structure; Artificial neural networks; Face recognition; Feature extraction; Multi-layer neural network; Multilayer perceptrons; Organizing; Pattern recognition; Shape; Visual system;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.857772
Filename
857772
Link To Document