Global geometry extraction for fuzzy logic based handwritten character recognition

Noor, N. M., Razaz, M. and Manley-Cooke, P. (2004) Global geometry extraction for fuzzy logic based handwritten character recognition. In: 17th International Conference on Pattern Recognition, 2004-08-23 - 2004-08-26.

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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%.

Item Type:	Conference or Workshop Item (Paper)
Faculty \ School:	Faculty of Science > School of Computing Sciences
Depositing User:	Vishal Gautam
Date Deposited:	21 Jul 2011 13:40
Last Modified:	02 Mar 2023 12:32
URI:	https://ueaeprints.uea.ac.uk/id/eprint/21869
DOI:	10.1109/ICPR.2004.1334284

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