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首页> 外文会议>2016 5th International Conference on Informatics, Electronics and Vision >An efficient way for segmentation of Bangla characters in printed document using curved scanning
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An efficient way for segmentation of Bangla characters in printed document using curved scanning

机译：使用弯曲扫描分割打印文档中孟加拉字符的有效方法

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摘要

The preeminent reason for poor output in Optical Character Recognition (OCR) for Bangla text is introduced by segmentation related error. Different shape of characters, connected characters, modifiers in top and bottom, overlapped region between consecutive characters are the main obstacle for effective segmentation for Bangla printed text. In this paper an efficient strategy is introduced to segment characters consisting overlapped region with other characters. The proposed strategy of our research have achieved 99.8% accuracy rate in line segmentation, 99.5% accuracy in word segmentation and 99% accuracy for character segmentation. The error introduced when two consecutive characters have multiple touching points.
机译：孟加拉语文本的光学字符识别（OCR）输出不佳的主要原因是与分段相关的错误。字符的不同形状，连接的字符，顶部和底部的修饰符，连续字符之间的重叠区域是有效分割Bangla打印文本的主要障碍。本文提出了一种有效的策略来分割由重叠区域与其他字符组成的字符。我们的研究提出的策略在行分割中达到了99.8％的准确率，在字分割中达到了99.5％的准确率，在字符分割中达到了99％的准确性。当两个连续的字符具有多个接触点时引入的错误。

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