Global geometry extraction for fuzzy logic based handwritten character recognition

N. M. Noor, M. Razaz, P. Manley-Cooke

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

The problem of handwritten character recognition is made more difficult by the fact that scanned, isolated characters are rotated or slanted in either direction and by a variable amount. This paper provides a possible solution to the problem of character rotation in the offline recognition of isolated handwritten English alphabets. The proposal involves extracting rotationally invariant global geometric properties from a character?s image to analyse its shape. The geometric properties extracted are added to the input vectors of two existing classifiers. Experimental results tested on a variety of writing styles have shown that the inclusion of global geometric property extraction can improve the recognition rate by about 40%.
Original languageEnglish
Pages513-516
Number of pages4
DOIs
Publication statusPublished - Aug 2004
EventProceedings of the 17th International Conference on Pattern Recognition (ICPR-2004) -
Duration: 23 Aug 200426 Aug 2004

Conference

ConferenceProceedings of the 17th International Conference on Pattern Recognition (ICPR-2004)
Period23/08/0426/08/04

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