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.

在本文中，我们通过将文档图像划分为垂直条纹，然后是分段水平投影轮廓，为梵文文件提出了线分割算法。计算平均线高，并基于此高度，检测线的分割不足或分割过度，以识别古代手稿。为了进行线分割算法的实验工作，从各个图书馆和博物馆中收集了梵文的古代手稿。为了数字化这些图像，使用了扫描仪和数码相机。所提出的线段分割算法在1500个文本行上进行了测试。据我们所知，这是对梵文古代手稿进行线分割的第一项工作。提出的算法也可以用于其他印度文字。