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Optical Character Recognition Techniques in Documents

机译:文档中的光学字符识别技术

摘要

Vehicles and other items often have corresponding documents, such as registration cards, that contain a significant amount of informative text information that can be used to identify the item. Typical OCR may not be successful when processing non-cooperative images. Thus, functions such as dewarping, text alignment, and line identification and removal can help OCR of non-cooperative images. Dewarping involves processing the image to determine the curvature of the document depicted in the image and to dewarp the image of the document to more precisely conform to the ideal of a cooperative image. Text alignment involves determining the actual alignment of the depicted text even if the depicted text is not aligned with the depicted visual cue. Line identification and removal involves identifying the portion of the image depicting lines and removing those lines prior to OCR processing of the image.
机译:车辆和其他物品通常具有相应的文档,例如登记卡,其中包含大量的信息文本信息,可用于识别该项目。 处理非协作图像时,典型的OCR可能无法成功。 因此,诸如揭穿,文本对准和线路识别和删除的功能可以帮助非协作图像的OCR。 Dewarping涉及处理图像以确定图像中描绘的文档的曲率,并揭示文档的图像更精确地符合协作图像的理想。 文本对齐涉及确定所描绘的文本的实际对准,即使所描绘的文本未与所描绘的视觉提示对齐。 线识别和拆卸涉及识别描绘线的图像的部分并在OCR处理图像之前去除这些线。

著录项

  • 公开/公告号KR102279456B1

    专利类型

  • 公开/公告日2021-07-21

    原文格式PDF

  • 申请/专利权人 이베이 인크.;

    申请/专利号KR20187037335

  • 申请日2017-05-25

  • 分类号G06K9/46;G06K9;G06K9/34;G06K9/48;G06Q30/06;

  • 国家 KR

  • 入库时间 2022-08-24 20:24:43

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