학술논문
Improving the efficiency of a fuzzy-based single-stroke character recognizer with hierarchical rule-base
Document Type
Conference
Author
Source
2012 IEEE 13th International Symposium on Computational Intelligence and Informatics (CINTI) Computational Intelligence and Informatics (CINTI), 2012 IEEE 13th International Symposium on. :421-426 Nov, 2012
Subject
Language
Abstract
In this paper we present an improved version of the fuzzy based single-stroke character recognizer introduced in previous works. The modified recognition method is able to reach an acceptable accuracy in the character recognition with a significant decrease on the computational complexity of the algorithm. Different hierarchical rule-base techniques were successfully used to improve the efficiency of fuzzy systems. The altered recognizer reached 98.82% average recognition rate with 26 different single-stroke symbols (based on Palm's Graffiti alphabet) without learning user-specific parameters or modifying the rule-base during the tests. The new algorithm has a small decrease in the recognition rate compared to the accuracy of the original systems but the new method has less computational price than the original system does.