Fuzzy Based Approach to the Recognition of Multi-Font Numerals
Vamsi Krishna Madasu, Madasu Hanmandlu, Mohd Hafizuddin Mohd Yusof · Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University) · 2003
In this paper, we propose a new scheme for off-line recognition of multi-font numerals. In the proposed scheme, the binary image of a character is partitioned into a fixed number of sub-images called boxes. The features consist of normalized vector distances and angles from each box. These features give rise to fuzzy sets. However, when we have small number of samples as in the case of multi-font numerals, the choice of a proper fuzzification function is crucial. Hence, we have devised a new fuzzification function involving parameters, which take account of the variations in the fuzzy sets. These parameters are obtained by optimization.