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Word Segmentation and Baseline Detection in Handwritten Documents Using Isothetic Covers

机译:使用等距封面的手写文档中的分词和基线检测

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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:提出了一种针对手写文档中的单词分割和基线检测的新颖方法。它是基于等渗覆盖层的某些结构特性,将单词紧密地封装在手写文档中。对于适当的网格大小,等距封面成功地隔离了单词,因此每个封面都对应一个特定的单词。通过分析这些掩体的水平弦,提取相应的基线。该方法通过组合方式沿字边界遍历策略,并且严格地在整数域中使用有限的运算,因此具有快速,鲁棒和高效的特点。一些孟加拉语和英语手写的研究结果已经显示出它的力量和优雅。

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