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Word Segmentation and Baseline Detection in Handwritten Documents Using Isothetic Covers

机译:手写文件中使用Isothetic Covers的单词分割和基线检测

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A novel approach towards word segmentation and baseline detection in a handwritten document is proposed. It is based on certain structural properties of isothetic covers tightly enclosing the words in a handwritten document. For an appropriate grid size, the isothetic covers successfully segregates the words so that each cover corresponds to a particular word. By analyzing the horizontal chords of these covers, the corresponding baselines are extracted. The method is fast, robust, and efficient by dint of its traversal strategy along the word boundaries in a combinatorial manner and usage of limited operations strictly in the integer domain. Some results on several Bengali and English handwritings have been given to demonstrate its strength and elegance.
机译:提出了一种在手写文献中的文字分割和基线检测的新方法。它基于一定的各种结构特性,封闭在手写文档中紧密封闭单词。对于适当的网格尺寸,各种覆盖物成功地分离单词,使得每个盖子对应于特定字。通过分析这些盖子的水平和弦,提取相应的基线。该方法通过组合方式的单词边界和在整数域中严格使用有限的操作的单词边界来快速,稳健,且效率高效。已经提出了几个孟加拉和英语手写的结果,以证明其力量和优雅。

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