触摸兰纳字符的分割

Sakkayaphop Pravesjit, A. Thammano
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引用次数: 2

摘要

字符分割是字符识别的重要预处理步骤。不正确分割的字符不太可能被正确识别。触摸字符是手写体字符分割中最困难的分割案例之一。因此,本文着重对触摸和重叠字符的分割进行了研究。在本文提出的字符分割过程中,首先采用边界盒分析将文档图像分割为孤立字符图像和接触字符图像。采用细化算法提取触摸字符的骨架。接下来,将动人人物的骨架分成几部分。最后,将感人人物的分离片段放回原处,重建两个孤立的人物。该算法的准确率为75.3%。
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Segmentation of touching Lanna characters
Character segmentation is an important preprocessing step for character recognition. Incorrectly segmented characters are not likely to be correctly recognized. Touching characters is one of the most difficult segmentation cases which arise when handwritten characters are being segmented. Therefore, this paper emphasizes the interest to the segmentation of touching and overlapping characters. In the proposed character segmentation process, the bounding box analysis is initially employed to segment the document image into images of isolated characters and images of touching characters. The thinning algorithm is applied to extract the skeleton of the touching characters. Next, the skeleton of the touching characters is separated into several pieces. Finally, the separated pieces of the touching characters are put back to reconstruct two isolated characters. The proposed algorithm achieves an accuracy of 75.3%.
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