The Community for Technology Leaders
RSS Icon
Subscribe
London, England
July 16, 2003 to July 18, 2003
ISBN: 0-7695-1988-1
pp: 384
John Cowell , De Montfort University
Fiaz Hussain , University of Luton
ABSTRACT
The Amharic language is the principal language of over 20 million people mainly in Ethiopia. An extensive literature survey reveals no journal or conference papers on Amharic character recognition. The Amharic script has 33 basic characters each with seven orders giving 231 distinct characters, not including numbers and punctuation symbols. The characters are cursive but not connected and unlike other cursive scripts do not use dots.<div></div> This paper describes the Amharic script and discusses the difficulties of applying conventional structural and syntactic recognition processes. Two statistical algorithms for identifying Amharic characters are described. In both, the characters are normalised for both size and orientation. The first compares the character against a series of templates. The second derives a characteristic signature from the character and compares this against a set of signature templates. The signatures used are fifty times smaller than the original character and the recognition process is corresponding faster but with some loss of accuracy. The statistical techniques described have been fully implemented and the resulting performance outlined.
INDEX TERMS
optical character recognition, OCR, confusion matrix, Amharic character recognition, structural recognition, character signature
CITATION
John Cowell, Fiaz Hussain, "Amharic Character Recognition using a Fast Signature Based Algorithm", IV, 2003, 2013 17th International Conference on Information Visualisation, 2013 17th International Conference on Information Visualisation 2003, pp. 384, doi:10.1109/IV.2003.1218014
18 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool