Text Recognition Based on Recognition Units
    1.
    发明申请
    Text Recognition Based on Recognition Units 有权
    基于识别单位的文本识别

    公开(公告)号:US20150186738A1

    公开(公告)日:2015-07-02

    申请号:US14142967

    申请日:2013-12-30

    Applicant: Google Inc.

    CPC classification number: G06K9/723 G06F17/22 G06K2209/013

    Abstract: Methods and systems for grapheme splitting of text input for recognition are provided. A method may include receiving a text input in a script and segmenting the text input into one or more graphemes. Each of the one or more graphemes may be split into one or more recognition units based on one or more recognition unit identification criteria associated with the script. Next, a text recognition system may be trained using the recognition units. Text input may be handwritten text input received from a user or a scanned image of text.

    Abstract translation: 提供了用于识别文本输入的图形分割的方法和系统。 方法可以包括在脚本中接收文本输入并将文本输入分割成一个或多个字形。 基于与脚本相关联的一个或多个识别单元识别标准,一个或多个字形中的每一个可以被分割成一个或多个识别单元。 接下来,可以使用识别单元来训练文本识别系统。 文本输入可以是从用户接收的手写文本输入或文本的扫描图像。

    Text recognition based on recognition units
    2.
    发明授权
    Text recognition based on recognition units 有权
    基于识别单位的文本识别

    公开(公告)号:US09536180B2

    公开(公告)日:2017-01-03

    申请号:US14142967

    申请日:2013-12-30

    Applicant: Google Inc.

    CPC classification number: G06K9/723 G06F17/22 G06K2209/013

    Abstract: Methods and systems for grapheme splitting of text input for recognition are provided. A method may include receiving a text input in a script and segmenting the text input into one or more graphemes. Each of the one or more graphemes may be split into one or more recognition units based on one or more recognition unit identification criteria associated with the script. Next, a text recognition system may be trained using the recognition units. Text input may be handwritten text input received from a user or a scanned image of text.

    Abstract translation: 提供了用于识别文本输入的图形分割的方法和系统。 方法可以包括在脚本中接收文本输入并将文本输入分割成一个或多个字形。 基于与脚本相关联的一个或多个识别单元识别标准,一个或多个字形中的每一个可以被分割成一个或多个识别单元。 接下来,可以使用识别单元来训练文本识别系统。 文本输入可以是从用户接收的手写文本输入或文本的扫描图像。

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