Use of Fuzzy Feature Descriptions to Recognize Handwritten Alphanumeric Characters

Abstract

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 is the building of the rule-base that would describe the characters to be recognized. The problem is complicated as different people write the same character in complete different ways. This work describes a method that can be used to generate a fuzzy value database that describes the characters written by different individuals.