Methods and systems for efficient handwritten character segmentation
    1.
    发明授权
    Methods and systems for efficient handwritten character segmentation 有权
    高效手写字符分割的方法和系统

    公开(公告)号:US09152876B1

    公开(公告)日:2015-10-06

    申请号:US14218184

    申请日:2014-03-18

    CPC classification number: G06K9/00436 G06K9/344 G06K2209/01

    Abstract: A system and method for determining handwritten character segmentation shape parameters for a user in automated handwriting recognition by prompting the user for a training sample; obtaining an image that includes handwritten text that corresponds to the training sample; sweeping the image with shapes corresponding to parameters to determine coordinates of the shapes in the image; segmenting the image into segmented characters based on the coordinates of the shapes; determining character segmentation accuracies of the parameters; and storing an association between the user and the parameters. The system and method can further include receiving a writing sample from the same user and utilizing the stored parameters to segment characters in the writing sample for use in automated handwriting recognition of the writing sample.

    Abstract translation: 一种用于通过提示用户训练样本来确定用户自动手写识别中的手写字符分割形状参数的系统和方法; 获取包括与训练样本对应的手写文本的图像; 用对应于参数的形状扫描图像以确定图像中形状的坐标; 根据形状的坐标将图像分割成分段字符; 确定参数的字符分割精度; 并存储用户和参数之间的关联。 该系统和方法还可以包括从相同的用户接收写入样本并利用所存储的参数来分割书写样本中的字符以用于书写样本的自动手写识别。

    METHODS AND SYSTEMS FOR EFFICIENT HANDWRITTEN CHARACTER SEGMENTATION
    2.
    发明申请
    METHODS AND SYSTEMS FOR EFFICIENT HANDWRITTEN CHARACTER SEGMENTATION 有权
    方法和系统有效的手写字符分割

    公开(公告)号:US20150269453A1

    公开(公告)日:2015-09-24

    申请号:US14218184

    申请日:2014-03-18

    CPC classification number: G06K9/00436 G06K9/344 G06K2209/01

    Abstract: A system and method for determining handwritten character segmentation shape parameters for a user in automated handwriting recognition by prompting the user for a training sample; obtaining an image that includes handwritten text that corresponds to the training sample; sweeping the image with shapes corresponding to parameters to determine coordinates of the shapes in the image; segmenting the image into segmented characters based on the coordinates of the shapes; determining character segmentation accuracies of the parameters; and storing an association between the user and the parameters. The system and method can further include receiving a writing sample from the same user and utilizing the stored parameters to segment characters in the writing sample for use in automated handwriting recognition of the writing sample.

    Abstract translation: 一种用于通过提示用户训练样本来确定用户自动手写识别中的手写字符分割形状参数的系统和方法; 获取包括与训练样本对应的手写文本的图像; 用对应于参数的形状扫描图像以确定图像中形状的坐标; 根据形状的坐标将图像分割成分段字符; 确定参数的字符分割精度; 并存储用户和参数之间的关联。 该系统和方法还可以包括从相同的用户接收写入样本并利用所存储的参数来分割书写样本中的字符以用于书写样本的自动手写识别。

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