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Line Segmentation of Devanagari Ancient Manuscripts

机译:古代梵文字母线分割手稿

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摘要

In this paper, we have proposed a line segmentation algorithm for Devanagari ancient documents by dividing the document image into vertical stripes and followed by piecewise horizontal projection profiles. Average line height is computed, and based on this height, under-segmentation or over-segmentation of lines is detected for ancient manuscripts recognition. For experimental work of line segmentation algorithm, Devanagari ancient manuscripts are collected from various libraries and museums. To digitize these images, scanner and digital camera are used. The proposed line segmentation algorithm is tested on 1500 text lines. To the best of our knowledge, this is the first work of its kind for line segmentation on Devanagari ancient manuscripts. The proposed algorithm can be used for other Indian scripts also.
机译:在本文中,我们提出了一条线为古代梵文字母分割算法文档除以文档图像垂直条纹和分段紧随其后水平投影概要文件。高度计算,在此基础上的高度,欠分割和过分割的线是古代手稿识别检测。线分割的实验工作算法,梵文字母古代手稿收集各种各样的图书馆和博物馆。这些图像,数字化扫描仪和数码相机使用。算法测试1500文本行。我们所知,这是第一个工作同类梵文字母线分割古老的手稿。也被用于其他印度脚本。

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