A short method for on-line handwritten character recognition

Abstract

Handwritten characters differ from person to person. Thus, when using traditional methods like neural networks and image processing techniques, extensive training of the system is needed. Because of this, an attempt was made to develop a system that used the methods that humans use to perceive handwritten characters. Thus, a system that recognizes features in handwritten characters using fuzzy logic was developed. The reasons for the selection of fuzzy logic were as follows: 1. Fuzzy logic can be used to model human perception; 2. The mathematics that fuzzy logic requires is extremely fundamental. Thus, any algorithm developed using fuzzy logic would require relatively simple and short calculations; and 3. Due to simplicity of fuzzy calculations, they can be implemented on any hardware or software platform without too much concern for computing power. The objectives in the development of this method were: 1. The development of a short and efficient algorithm that tries as much as possible to model human perception. and 2. The development of an algorithm that can be implemented on any hardware or software platform through low computational power requirements.