The main challenge in handwritten character recognition involves the development of a method that can generate descriptions of the handwritten objects in a short period of time. Due to its low computational requirement, fuzzy logic is probably the most efficient method available for on-line character recognition. The most tedious task associated with using fuzzy logic for online character recognition involves the building of the rule-base that would describe the characters to be recognized. This problem is further complicated by the fact that different people write the same character in completely different ways. This paper describes a method that can be used to automatically generate a database containing the fuzzy membership values that describe the characters written by different individuals.
|Number of pages||13|
|Journal||International Journal of Knowledge-Based and Intelligent Engineering Systems|
|Publication status||Published - 8 Nov 2005|
ASJC Scopus subject areas
- Control and Systems Engineering
- Artificial Intelligence