1. Online Farsi Character Recognition Using Structural Features
- Author
-
Vahid Ghods and Ehsanollah Kabir
- Subjects
Recognition ,Grouping ,Online handwriting ,Decision tree ,Farsi ,Discrete letters ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
In this paper, grouping and recognition of online Farsi discrete characters are presented according to their structural features. The letters are divided into 9 groups based on the form and structure of their main bodies. After feature extraction, grouping is performed using a decision tree. Final recognition of letters is carried out in each group by delayed strokes. The proposed method is a rapid method in character recognition because time-consuming methods have not been used. Our proposed method was tested on TMU-OFS dataset, and a recognition rate of 94% and 92% was achieved for character grouping and recognition, respectively. The mean processing time for recognizing a letter was 3ms.
- Published
- 2012