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METHOD FOR LINE AND WORD SEGMENTATION FOR HANDWRITTEN TEXT IMAGES

机译:手写文字图像行字分割方法

摘要

A method for segmenting an image containing handwritten text into line segments and word segments. The image is horizontally down sampled at a first ratio. Connected regions in the down-sampled image are detected; horizontal neighboring ones are merged to form lines, to segment the original image into line images. Each line image is horizontally down sampled at a second ratio which is smaller than the first ratio. Connected regions in the down-sampled line image are detected to obtain potential word segmentation positions. A path is a way of dividing the line at some or all of the potential word segmentation positions into multiple path segments; for each of all possible paths, word recognition is applied to each path segment to calculate a word recognition score, and an average word recognition score for the path is calculated; the path with the highest score gives the final word segmentation.
机译:一种将包含手写文本的图像分割为线段和单词段的方法。以第一比率水平向下采样图像。在下采样图像中检测到连接区域;将水平相邻的图像合并成线,以将原始图像分割成线图像。每个线图像以小于第一比率的第二比率水平向下采样。检测下采样线图像中的连接区域以获得潜在的单词分割位置。路径是将某些或所有可能的单词分段位置处的线划分为多个路径段的方式;对于所有可能的路径中的每一个,将单词识别应用于每个路径段以计算单词识别分数,并计算该路径的平均单词识别分数;得分最高的路径将给出最终的单词分割。

著录项

  • 公开/公告号US2018330181A1

    专利类型

  • 公开/公告日2018-11-15

    原文格式PDF

  • 申请/专利权人 KONICA MINOLTA LABORATORY U.S.A. INC.;

    申请/专利号US201816043010

  • 发明设计人 DUANDUAN YANG;

    申请日2018-07-23

  • 分类号G06K9/34;G06K9;G06K9/72;

  • 国家 US

  • 入库时间 2022-08-21 12:06:15

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