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%.
|Number of pages||4|
|Publication status||Published - Aug 2004|
|Event||Proceedings of the 17th International Conference on Pattern Recognition (ICPR-2004) - |
Duration: 23 Aug 2004 → 26 Aug 2004
|Conference||Proceedings of the 17th International Conference on Pattern Recognition (ICPR-2004)|
|Period||23/08/04 → 26/08/04|