DocumentCode
1263953
Title
Neural recognition in a pyramidal structure
Author
Cantoni, Virginio ; Petrosino, Alfredo
Author_Institution
Dipt. di Inf. e Sistemistica, Pavia Univ., Italy
Volume
13
Issue
2
fYear
2002
fDate
3/1/2002 12:00:00 AM
Firstpage
472
Lastpage
480
Abstract
In recent years, there have been several proposals for the realization of models inspired to biological solutions for pattern recognition. In this work we propose a new approach, based on a hierarchical modular structure, to realize a system capable to learn by examples and recognize objects in digital images. The adopted techniques are based on multiresolution image analysis and neural networks. Performance on two different data sets and experimental timings on a single instruction multiple data (SIMD) machine are also reported
Keywords
image recognition; neural net architecture; parallel architectures; pattern recognition; multiresolution image analysis; neural networks; parallel machine; pattern recognition; single instruction multiple data machine; structured neural network; Biological system modeling; Digital images; Feature extraction; Hopfield neural networks; Image analysis; Image recognition; Image resolution; Neural networks; Pattern recognition; Proposals;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.991433
Filename
991433
Link To Document