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A character segmentation algorithm for the palm leaf manuscripts

机译:棕榈叶手稿的字符分割算法

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To tackle the problem of character segmentation for the palm leaf manuscripts, a character segmentation algorithm is proposed in this paper. The whole process of the algorithm consists of two steps, interleaving character segmentation and touching character segmentation. In the first step, the improved Viterbi algorithm and some path filtering rules are used to perform path detecting and path filtering respectively. In the second step, the Concave spot detecting method based segmentation algorithm is proposed to solve the touching character segmentation problem. The experiments in this work base on a text line database obtained by our previous works and the experimental results prove the effectiveness of the proposed algorithm in the character segmentation for the palm leaf manuscripts.
机译:针对棕榈叶手稿的字符分割问题,提出了一种字符分割算法。该算法的整个过程包括交织字符分割和触摸字符分割两个步骤。第一步,使用改进的Viterbi算法和一些路径过滤规则分别执行路径检测和路径过滤。第二步,提出了一种基于凹点检测的分割算法,解决了触摸字符分割问题。该工作是在我们先前工作获得的文本行数据库的基础上进行的,实验结果证明了该算法在掌叶手稿字符分割中的有效性。

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