Multiple hypothesis testing for word detection
    1.
    发明授权
    Multiple hypothesis testing for word detection 有权
    词检测的多重假设检验

    公开(公告)号:US09152871B2

    公开(公告)日:2015-10-06

    申请号:US14268904

    申请日:2014-05-02

    CPC classification number: G06K9/18 G06K9/344 G06K9/6821 G06K9/723 G06K2209/01

    Abstract: Embodiments disclosed pertain to Optical Character Recognition using Multiple Hypothesis Testing based techniques on images occurring in a variety of settings, including images captured by mobile stations. In some embodiments, a set of bifurcation points for a character cluster in an image may be determined. The character cluster may comprise non-uniformly spaced text or closely spaced text. A plurality of hypotheses may be determined for the character cluster, where each hypothesis is based on a subset of the bifurcation points and comprises a set of words generated from the character cluster. A plurality of scores corresponding to the plurality of hypotheses may be determined, where each score corresponds to a hypothesis, and a hypothesis may be selected from among the plurality of hypotheses based on a score associated with the selected hypothesis.

    Abstract translation: 所公开的实施例涉及使用基于多种假设检验技术的光学字符识别,所述技术包括在各种设置中出现的图像,包括由移动台捕获的图像。 在一些实施例中,可以确定图像中的字符簇的一组分叉点。 字符簇可以包括非均匀间隔的文本或紧密间隔的文本。 可以针对字符簇确定多个假设,其中每个假设基于分支点的子集,并且包括从字符簇生成的一组单词。 可以确定与多个假设相对应的多个分数,其中每个分数对应于假设,并且可以基于与所选择的假设相关联的评分从多个假设中选择假设。

    Text image quality based feedback for improving OCR
    2.
    发明授权
    Text image quality based feedback for improving OCR 有权
    基于文本图像质量的反馈,用于改进OCR

    公开(公告)号:US09317764B2

    公开(公告)日:2016-04-19

    申请号:US13843637

    申请日:2013-03-15

    CPC classification number: G06K9/2054 G06K9/2081 G06K9/3258 G06K2209/01

    Abstract: An electronic device and method capture multiple images of a scene of real world at a several zoom levels, the scene of real world containing text of one or more sizes. Then the electronic device and method extract from each of the multiple images, one or more text regions, followed by analyzing an attribute that is relevant to OCR in one or more versions of a first text region as extracted from one or more of the multiple images. When an attribute has a value that meets a limit of optical character recognition (OCR) in a version of the first text region, the version of the first text region is provided as input to OCR.

    Abstract translation: 电子设备和方法以几个缩放级别捕获真实世界场景的多个图像,现实世界的场景包含一个或多个尺寸的文本。 然后,电子设备和方法从多个图像中的每一个提取一个或多个文本区域,随后从多个图像中的一个或多个提取出的第一文本区域的一个或多个版本中分析与OCR相关的属性 。 当属性具有满足第一文本区域的版本中的光学字符识别(OCR)限制的值时,第一文本区域的版本被提供作为OCR的输入。

    Text Image Quality Based Feedback For Improving OCR
    3.
    发明申请
    Text Image Quality Based Feedback For Improving OCR 有权
    基于文本图像质量的反馈改进OCR

    公开(公告)号:US20140168478A1

    公开(公告)日:2014-06-19

    申请号:US13843637

    申请日:2013-03-15

    CPC classification number: G06K9/2054 G06K9/2081 G06K9/3258 G06K2209/01

    Abstract: An electronic device and method capture multiple images of a scene of real world at a several zoom levels, the scene of real world containing text of one or more sizes. Then the electronic device and method extract from each of the multiple images, one or more text regions, followed by analyzing an attribute that is relevant to OCR in one or more versions of a first text region as extracted from one or more of the multiple images. When an attribute has a value that meets a limit of optical character recognition (OCR) in a version of the first text region, the version of the first text region is provided as input to OCR.

    Abstract translation: 电子设备和方法以几个缩放级别捕获真实世界场景的多个图像,现实世界的场景包含一个或多个尺寸的文本。 然后,电子设备和方法从多个图像中的每一个提取一个或多个文本区域,随后从多个图像中的一个或多个提取出的第一文本区域的一个或多个版本中分析与OCR相关的属性 。 当属性具有满足第一文本区域的版本中的光学字符识别(OCR)限制的值时,第一文本区域的版本被提供作为OCR的输入。

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