liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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.
Series
LiTH-IDA-R
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-23994ISRN: LiTH-IDA-R-89-14Local ID: 3549OAI: oai:DiVA.org:liu-23994DiVA: diva2:244310
Available from: 2009-10-07 Created: 2009-10-07

Open Access in DiVA

No full text

Authority records BETA

Johansson, Olof

Search in DiVA

By author/editor
Johansson, Olof
By organisation
The Institute of TechnologyEDSLAB - Laboratory for Engineering Databases Systems
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 29 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf