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  • 标题:Document Image Binarization Using Retinex and Global Thresholding
  • 本地全文:下载
  • 作者:Marian Wagdy ; Ibrahima Faye ; Dayang Rohaya
  • 期刊名称:ELCVIA: electronic letters on computer vision and image analysis
  • 印刷版ISSN:1577-5097
  • 出版年度:2015
  • 卷号:14
  • 期号:1
  • 页码:61-73
  • DOI:10.5565/rev/elcvia.648
  • 语种:English
  • 出版社:Centre de Visió per Computador
  • 摘要:Document images are usually degraded in the course of photocopying, faxing, printing, or scanning. Degradation problems seems negligible to human eyes but can be responsible for an abrupt decline in accuracy by the current generation of optical character recognition (OCR) systems. In this paper we present binarization method based on retinex theory followed by a global threshold. High quality results in terms of visual criteria and OCR performance is produced compared to the previous works.
  • 其他摘要:Document images are usually degraded in the course of photocopying, faxing, printing, or scanning. Degradation problems seems negligible to human eyes but can be responsible for an abrupt decline in accuracy by the current generation of optical character recognition (OCR) systems. In this paper we present binarization method based on retinex theory followed by a global threshold. High quality results in terms of visual criteria and OCR performance is produced compared to the previous works.
  • 关键词:Thresholding;binarization;retinex theory;degradation;lightness;digitization;OCR systems.
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