نوع مقاله: مقاله پژوهشی
نویسندگان
1 مربی/دانشگاه آزاد اسلامی واحد سمنان
2 استاد/دانشگاه تربیت مدرس تهران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
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.
کلیدواژهها [English]
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