A Recognition of Hand Written Hangul by Fuzzy Valuation of Segment
Jeong-Young Song, Hee‐Hyol Lee, Won-Kyu Choi, Kageo Akizuki · IEEJ Transactions on Electronics Information and Systems · 1993
Unlike printed character, the recognition of Hand Written one has various kinds of difficulties due to the existence of the huge pattern associated with the person who writes. Therefore, in general, recognition of Hand Written characters requires an algorithm which takes into consideration of the individual differences. Hangul characters are bassically made of straight lines and circles. They can be represented in terms of feature parameters such as the end point of the straight line, the length and the angle. Then all Hangul characters can be represented by the number of basic segments (_??_) multiplied by the feature parameters respectively. In this study we propose a method for recognizing Hand Written Hangul characters in terms of fuzzy inference. The recognition rate of proposed method for Hand Written Hangul characters shows 80% for 150 characters.