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An Experiment with a Neural Network for Handwritten Character Recognition
Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, EDSLAB - Laboratory for Engineering Databases Systems.
1989 (English)Report (Other academic)
Abstract [en]

This report shows some promising results in using neural networks for handwritten character recognition in real-time. The characters were input from a digitizer and preprocessed to extract different features. These were taken as input to a backpropagation network which was trained to recognize the 29 lower case letters in the Swedish alphabet. Its configuration was 40 input nodes, 30 hidden nodes and 29 output nodes. It was trained with 4 different versions of each character in 15 000 iterations. After that it was able to recognize 100% of two other separately entered versions of the alphabet. The amount of computation needed for classifying a character with this kind of networks puts no restrictions on real-time performance.

Place, publisher, year, edition, pages
Linköping, Sweden: Linköpings universitet , 1989.
National Category
Computer Science
URN: urn:nbn:se:liu:diva-23994ISRN: LiTH-IDA-R-89-14Local ID: 3549OAI: diva2:244310
Available from: 2009-10-07 Created: 2009-10-07

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Johansson, Olof
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The Institute of TechnologyEDSLAB - Laboratory for Engineering Databases Systems
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