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Handwritten character recognition by extended loop neural networks
- Source :
- Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks.
- Publication Year :
- 2002
- Publisher :
- IEEE, 2002.
-
Abstract
- Presents an extended loop neural network approach to handwritten character recognition. Experiments show that this method is very effective. The recognition rate by this method is higher than that by a backpropagation network. >
- Subjects :
- Artificial neural network
Computer science
Time delay neural network
business.industry
Intelligent character recognition
Speech recognition
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Neocognitron
Pattern recognition
Backpropagation
ComputingMethodologies_PATTERNRECOGNITION
Recurrent neural network
Feature (machine learning)
Artificial intelligence
business
Signature recognition
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks
- Accession number :
- edsair.doi...........bbc7cdfc5a7c5a23de8e061bbce01d66