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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Text line extraction from multi-skewed handwritten documents
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Text line extraction from multi-skewed handwritten documents

机译:从多倾斜的手写文档中提取文本行

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摘要

A novel text line extraction technique is presented for multi-skewed document images of handwritten English or Bengali text. It assumes that hypothetical water flows, front both left and right sides of the image frame, face obstruction from characters of text lines. The stripes of areas left unwetted on the image frame are finally labelled for extraction of text lines. The success rate of the technique, as observed experimentally, are 90.34% and 91.44% for handwritten Bengali and English document images, respectively. The work may contribute significantly for the development of applications related to optical character recognition of Bengali/English text. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
机译:提出了一种新颖的文本行提取技术,用于手写英语或孟加拉语文本的多倾斜文档图像。假设假想的水在图像框的左右两侧流动,并且由于文字行字符而受到阻碍。最后留在图像框架上未润湿的区域的条纹被标记以提取文本行。通过实验观察,该技术对于孟加拉语手写图像和英语文档图像的成功率分别为90.34%和91.44%。这项工作可能会极大地促进与孟加拉语/英语文本的光学字符识别有关的应用程序的开发。 (c)2006模式识别学会。由Elsevier Ltd.出版。保留所有权利。

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