灰度滤波的线和词分割

Yi Lu, A. Tisler
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引用次数: 2

摘要

从数字文档图像中提取行、词和字符是字符识别的必要计算步骤。在字符分割和识别方面已经讨论了很多,但在线分和词分方面却做得很少。作者提出了两种特殊的滤波器,最小差分滤波器(MDF)和平均差分滤波器(ADF),以方便线和词的分割。他们讨论了如何动态地选择这些过滤器的尺度,以及如何使用过滤器从文本图像中消除交叉线。
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Gray scale filtering for line and word segmentation
The extraction of lines, words and characters from a digital document image are necessary computational steps preceding character recognition. Much has been discussed in character segmentation and recognition but little has been done in the area of line and word segmentation. The authors present two special filters, minimum difference filters (MDF) and average difference filters (ADF) to facilitate line and word segmentation. They discuss how to select the scales of these filters dynamically and how to use the filters to eliminate crossing lines from a text image.
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