An efficient Devanagari character classification in printed and handwritten documents using SVM
نویسندگان
چکیده
منابع مشابه
Printed and Handwritten Character &Number Recognition of Devanagari Script using SVM and KNN
Recognition of Devanagari scripts is challenging problems. In Optical Character Recognition [OCR], a character or symbol to be recognized can be machine printed or handwritten characters/numerals. There are several approaches that deal with problem of recognition of numerals/character. In this paper we have compared SVM and KNN on handwritten as well as on printed character and numerical databa...
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In this paper we are extracting feature of handwritten and ISM printed characters of devanagri script. we are extracting Gradient feature of the devanagari script ,for that we are using two operators i.e. Sobel and Robert operator respectively . Here we are computing gradient in 8,12,16,32 directions and getting different feature vectors respectively. We are using each directional vector separa...
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Recognition of Indian languages is a challenging problem. In Optical Character Recognition (OCR), acharacter or symbol to be recognized can be machine printed or handwritten characters/numerals. Several approaches in the past have been proposed that deal with problem of recognition of numerals/character depending on the type of feature extracted and way of extracting them. In this paper also a ...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2019
ISSN: 1877-0509
DOI: 10.1016/j.procs.2019.05.033