Automatic fuzzy rule base generation for on-line handwritten alphanumeric character recognition

Issue title: Selected papers from the KES2004 conference

Article type: Research Article

Authors: Ranawana, Romesh^{a; *} | Palade, Vasile^a | Bandara, G.E.M.D.C.^b

Affiliations: [a] University of Oxford, Computing Laboratory Parks Road, Oxford OX1 3QD, UK | [b] Faculty of Engineering, University of Peradeniya, Peradeniya, Sri Lanka

Correspondence: [*] Corresponding author. E-mail: romesh.ranawana@comlab.ox.ac.uk

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 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.

DOI: 10.3233/KES-2005-9408

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 9, no. 4, pp. 327-339, 2005