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Handwritten Character Recognition of Odia Script

机译:odia脚本的手写字符识别

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摘要

This paper presents a character recognition system of handwritten Odia script. Although, a lot of research has been carried out in handwritten character recognition, not considerable research has been carried out to recognize handwritten Odia characters. In this work we have attempted to classify 36 basic Odia consonants. Total 48 geometric features were extracted which includes shadow features, centroid features and distance based features. Weighted Euclidean Distance method has been used to classify the characters. The overall accuracy of our method is 87.6%. Further, Unicode mapping of the Odia characters has been proposed for uniform encoding of the Odia characters and thus paves the way for recognition and transmission of the characters easily.
机译:本文介绍了手写odia脚本的字符识别系统。虽然,在手写的性格识别中进行了很多研究,但没有得到相当大的研究来识别手写的odia字符。在这项工作中,我们已经尝试分类36个基本的odia辅音。提取共有48个几何特征,包括阴影功能,质心特征和基于距离的功能。加权欧几里德距离方法已被用于对字符进行分类。我们方法的整体准确性为87.6%。此外,已经提出了ODIA字符的Unicode映射,以便统一编码ODIA字符,因此铺平了容易识别和传输字符的方式。

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