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首页> 外文期刊>Applied Artificial Intelligence >DOCUMENT SKEW ESTIMATION AND CORRECTION: ANALYSIS OF TECHNIQUES, COMMON PROBLEMS AND POSSIBLE SOLUTIONS
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DOCUMENT SKEW ESTIMATION AND CORRECTION: ANALYSIS OF TECHNIQUES, COMMON PROBLEMS AND POSSIBLE SOLUTIONS

机译:文档偏斜估计和更正:技术,常见问题和可能解决方案的分析

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摘要

Document skew estimation and correction is a regular issue in scanned document images. It is an active research area in the domain of document analysis and recognition. Literature is replete with several document skew detection and correction techniques. The focus of this article is to present, compare, and analyze techniques for two subareas of document image analysis: skew angle estimation and correction. Several algorithms proposed in the literature are synthetically described. Accordingly, document skew estimation and correction techniques are broadly divided into several categories. Critical discussions are observed about the current status of the field and persistent problems of each category are highlighted. Finally, possible solutions are recommended.
机译:文档偏斜估计和校正是扫描文档图像中的常见问题。它是文档分析和识别领域中活跃的研究领域。文献中充斥着几种文档偏斜检测和校正技术。本文的重点是介绍,比较和分析文档图像分析的两个子区域的技术:偏斜角估计和校正。综合介绍了文献中提出的几种算法。因此,文档偏斜估计和校正技术大致分为几类。有人就该领域的现状进行了激烈的讨论,并强调了每个类别的持续存在的问题。最后,建议可能的解决方案。

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  • 来源
    《Applied Artificial Intelligence 》 |2011年第10期| p.769-787| 共19页
  • 作者

    Amjad Rehman; Tanzila Saba;

  • 作者单位

    Graphics and Multimedia Department, Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia, Skudaijohor, Malaysia;

    rnGraphics and Multimedia Department, Facuity of Computer Science and Information Systems, Universiti Teknologi Malaysia, 81310 Skudai Johor, Malaysia;

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  • 正文语种 eng
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