Online Farsi Character Recognition Using Structural Features

Autor:	Vahid Ghods, Ehsanollah Kabir
Jazyk:	English<br />Persian
Rok vydání:	2012
Předmět:	Recognition Grouping Online handwriting Decision tree Farsi Discrete letters Electrical engineering. Electronics. Nuclear engineering TK1-9971
Zdroj:	Journal of Intelligent Procedures in Electrical Technology, Vol 3, Iss 10, Pp 55-65 (2012)
Druh dokumentu:	article
ISSN:	2322-3871 2345-5594
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/eba31f486aac483c9ae77da018f62774 Zobrazit plný text záznamu View record in DOAJ