Ensemble Classifier System for Offline Ancient Tamil Character Recognition
نویسندگان
چکیده
منابع مشابه
Character Recognition using Ensemble classifier
To improve the accuracy of data classification systems, several techniques using classifier fusion have been suggested. This paper proposed a model of classifier fusion for character recognition problem. The work presented here aims to tackle the disadvantages and benefit of different classifiers with varying feature sets. In particular, this approach proposes the use of statistical procedures ...
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Recognition of ancient Tamil hand written characters from inscriptions is difficult. Ancient Tamil characters are different from current century's Tamil character. This paper concentrates on the century identification of ancient Tamil characters and converting them into current century's form using MATLAB. In this paper, a method for recognizing Tamil characters from stone
متن کاملCentury Identification and Recognition of Ancient Tamil Character Recognition
Recognition of ancient Tamil hand written characters from inscriptions is difficult. Ancient Tamil characters are different from current century’s Tamil character. This paper concentrates on the century identification of ancient Tamil characters and converting them into current century’s form using MATLAB. In this paper, a method for recognizing Tamil characters from stone inscriptions, called ...
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The aim of the present work is to recognise printed Tamil text. Though commercial Optical Character Recognition (OCR) packages are available in the market for Roman Script, not much work has been done in the field of OCR for Indian languages. Indian scripts usually have a large number of symbols and hence, recognition is a challenging task. In the current context, a complete OCR in printed Tami...
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Offline Tamil Handwritten character recognition system using a combination of Zernike moments and diagonal features of Zones are proposed in this paper. The proposed recognition system yields higher rate of recognition accuracy compared to the systems developed using the conventional feature extractions using horizontal and vertical methods. Since, Zernike moments are known as better descriptor...
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ژورنال
عنوان ژورنال: International Journal of Electronics and Communication Engineering
سال: 2019
ISSN: 2348-8549
DOI: 10.14445/23488549/ijece-iccrest-jrce-p1118