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Image Database of Texts in Natural Scenes

机译:自然场景中的文字图像数据库

摘要

There are many image databases, but the key part is having them well structured and organized. A well formed databse assembly methodology can take care of exactly that. udIn this diploma thesis I enlightned the databases from the computer vision area and their methodologies and created our own image database called udCVL OCR DB. In the introductory part I briefly described the basics of databases and methodology. In the middle part I presented the most important image databases from the majority of computer vision subareas with the emphasis on the optical character recognition (OCR) databases. After their description I also compared them between each other. After that I focused on the methodology udof the chosen databases, which were also described and compared between each other. Following that I presented our own database CVL OCR DB, which udwas compared to other OCR databases. The final part focuses mostly on the usage ilustration, analysis of results and on the future work.ud
机译:图像数据库很多,但是关键是要使它们具有良好的结构和组织。格式正确的数据库组装方法可以解决这一问题。 ud在本文凭论文中,我对计算机视觉领域的数据库及其方法进行了启发,并创建了自己的图像数据库 udCVL OCR DB。在引言部分,我简要介绍了数据库和方法论的基础。在中间部分,我介绍了大多数计算机视觉子区域中最重要的图像数据库,重点是光学字符识别(OCR)数据库。在描述完之后,我还将它们之间进行了比较。之后,我重点介绍所选数据库的方法 ud,并对其进行了描述和相互比较。接下来,我介绍了我们自己的数据库CVL OCR DB,该数据库与其他OCR数据库相比。最后一部分主要侧重于用法说明,结果分析和未来的工作。 ud

著录项

  • 作者

    Žerovnik Gregor;

  • 作者单位
  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"sl","name":"Slovene","id":39}
  • 中图分类

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