Distance based binary classifier of handwritten words
    1.
    发明授权
    Distance based binary classifier of handwritten words 有权
    基于距离的手写词二进制分类器

    公开(公告)号:US09361515B2

    公开(公告)日:2016-06-07

    申请号:US14256242

    申请日:2014-04-18

    Inventor: Eric M. Gross

    Abstract: This disclosure provides methods and systems to classify handwritten words associated with an answer to a question. According to an exemplary embodiment of this disclosure, a reference dictionary is constructed as a function of a known answer to the question, the reference dictionary including handwritten characters which are used for comparison purposes to determine if the handwritten answer if correct or not.

    Abstract translation: 本公开提供了与问题的答案相关联的手写词分类的方法和系统。 根据本公开的示例性实施例,参考词典被构造为问题的已知答案的函数,参考词典包括用于比较目的的手写字符,以确定手写答案是否正确。

    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。

    CONFIRMING AUTOMATICALLY RECOGNIZED HANDWRITTEN ANSWERS
    3.
    发明申请
    CONFIRMING AUTOMATICALLY RECOGNIZED HANDWRITTEN ANSWERS 有权
    确认自动识别手写答复

    公开(公告)号:US20160247035A1

    公开(公告)日:2016-08-25

    申请号:US14627457

    申请日:2015-02-20

    CPC classification number: G06K9/18 G06K9/00422 G06K9/72 G06K2209/01

    Abstract: An image is received that contains handwritten characters as answers to an inquiry. An automatic character recognition process is performed on the image to generate initially recognized characters from the handwritten characters. The initially recognized characters of an incorrect answer to a question of the inquiry are analyzed to automatically identify alternative recognized characters of the incorrect answer. Then, it can be determined whether one or more of the alternative recognized characters, when substituted in place of the initially recognized characters of the incorrect answer, change the incorrect answer to a correct answer to the question. If the alternative recognized characters substituted in place of the initially recognized characters in the correct answer exceed a minimum character recognition confidence value, the incorrect answer is changed to the correct answer to modify the initially scored answers to modified scored answers, and such are output.

    Abstract translation: 收到包含手写字符作为查询答案的图像。 对图像执行自动字符识别处理,以从手写字符生成最初识别的字符。 对询问问题的错误答案的初始识别字符进行分析,以自动识别不正确答案的替代识别字符。 然后,可以确定一个或多个替代的识别字符在代替不正确答案的初始识别字符时,将不正确的答案改为对该问题的正确答案。 如果替代的识别字符代替正确答案中的初始识别字符超过最小字符识别置信度值,则将不正确的答案更改为正确的答案,以将最初得分的答案修改为修改后的评分答案,并将其输出。

    Identifying user marks using patterned lines on pre-printed forms
    4.
    发明授权
    Identifying user marks using patterned lines on pre-printed forms 有权
    使用预打印表单上的图案线识别用户标记

    公开(公告)号:US09361536B1

    公开(公告)日:2016-06-07

    申请号:US14571753

    申请日:2014-12-16

    Abstract: Methods, devices, and systems replace solid lines of user-fillable areas of a print job with patterned lines and then print the print job with the patterned lines to print user-fillable pre-printed forms, using a printing device. These methods, devices, and systems also scan at least one of the user-fillable pre-printed forms having user markings to produce a scan, using an optical scanner. Further, such methods, devices, and systems produce an altered scan by removing only the patterned lines from the scan to leave the user markings in the altered scan using the image processor. Then, these methods, devices, and systems can identify user-supplied characters by performing automated character recognition on the user markings in the altered scan using the image processor and output such user-supplied characters from the image processor.

    Abstract translation: 方法,设备和系统用图案线替代打印作业的用户可填充区域的实线,然后使用图案线打印打印作业,以使用打印设备打印用户可填充的预打印形式。 这些方法,装置和系统还使用光学扫描仪扫描具有用户标记的用户可填充的预打印形式中的至少一个以产生扫描。 此外,这样的方法,设备和系统通过仅从扫描中去除图案线以使用图像处理器留下改变的扫描中的用户标记来产生改变的扫描。 然后,这些方法,设备和系统可以通过使用图像处理器对改变的扫描中的用户标记执行自动字符识别并从图像处理器输出这样的用户提供的字符来识别用户提供的字符。

    DISTANCE BASED BINARY CLASSIFIER OF HANDWRITTEN WORDS
    5.
    发明申请
    DISTANCE BASED BINARY CLASSIFIER OF HANDWRITTEN WORDS 有权
    基于距离的手工分类二进制分类器

    公开(公告)号:US20150302243A1

    公开(公告)日:2015-10-22

    申请号:US14256242

    申请日:2014-04-18

    Inventor: Eric M. Gross

    Abstract: This disclosure provides methods and systems to classify handwritten words associated with an answer to a question. According to an exemplary embodiment of this disclosure, a reference dictionary is constructed as a function of a known answer to the question, the reference dictionary including handwritten characters which are used for comparison purposes to determine if the handwritten answer if correct or not.

    Abstract translation: 本公开提供了与问题的答案相关联的手写词分类的方法和系统。 根据本公开的示例性实施例,参考词典被构造为问题的已知答案的函数,参考词典包括用于比较目的的手写字符,以确定手写答案是否正确。

    Methods and systems for efficient handwritten character segmentation
    6.
    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。

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