Handwriting recognition training and synthesis
    1.
    发明授权
    Handwriting recognition training and synthesis 有权
    手写识别训练与综合

    公开(公告)号:US07657094B2

    公开(公告)日:2010-02-02

    申请号:US11321493

    申请日:2005-12-29

    IPC分类号: G06K9/00

    摘要: Methods and systems for converting text into natural personal handwriting are provided. One aspect relates to the training of a computer to recognize a user's handwriting style. In one embodiment, the computer receives handwriting samples of at least one character written by the user, such as the character being provided as the beginning, middle, or ending character among a plurality of other characters. Further embodiments allow for increased personalization of the handwriting. Another aspect relates to system and methods for displaying a representation of a computer user's handwriting. In one embodiment, the handwriting comprises variant shapes of letters, personalized connection style between letters, and connection parts that look pressure-sensitive. In another embodiment, characters are adjusted, such as cutting portions of the character to create a more realistic recreation and synthesis of the handwriting.

    摘要翻译: 提供了将文本转换为自然人手写的方法和系统。 一方面涉及计算机的训练以识别用户的手写风格。 在一个实施例中,计算机接收由用户写入的至少一个字符的笔迹样本,诸如被提供为多个其他字符中的开始,中间或结束字符的字符。 进一步的实施例允许增加笔迹的个性化。 另一方面涉及用于显示计算机用户手写表示的系统和方法。 在一个实施例中,笔迹包括字母的变形形状,字母之间的个性化连接样式以及看起来对压力敏感的连接部分。 在另一个实施例中,字符被调整,例如切割角色的部分以创建更实际的娱乐和手写的合成。

    Handwriting recognition training and synthesis
    2.
    发明申请
    Handwriting recognition training and synthesis 有权
    手写识别训练与综合

    公开(公告)号:US20070154094A1

    公开(公告)日:2007-07-05

    申请号:US11321493

    申请日:2005-12-29

    IPC分类号: G06K9/00 G06K9/18

    摘要: Methods and systems for converting text into natural personal handwriting are provided. One aspect relates to the training of a computer to recognize a user's handwriting style. In one embodiment, the computer receives handwriting samples of at least one character written by the user, such as the character being provided as the beginning, middle, or ending character among a plurality of other characters. Further embodiments allow for increased personalization of the handwriting. Another aspect relates to system and methods for displaying a representation of a computer user's handwriting. In one embodiment, the handwriting comprises variant shapes of letters, personalized connection style between letters, and connection parts that look pressure-sensitive. In another embodiment, characters are adjusted, such as cutting portions of the character to create a more realistic recreation and synthesis of the handwriting.

    摘要翻译: 提供了将文本转换为自然人手写的方法和系统。 一方面涉及计算机的训练以识别用户的手写风格。 在一个实施例中,计算机接收由用户写入的至少一个字符的笔迹样本,诸如被提供为多个其他字符中的开始,中间或结束字符的字符。 进一步的实施例允许增加笔迹的个性化。 另一方面涉及用于显示计算机用户手写表示的系统和方法。 在一个实施例中,笔迹包括字母的变形形状,字母之间的个性化连接样式以及看起来对压力敏感的连接部分。 在另一个实施例中,字符被调整,例如切割角色的部分以创建更实际的娱乐和手写的合成。

    Framework for detecting a structured handwritten object
    3.
    发明申请
    Framework for detecting a structured handwritten object 有权
    用于检测结构化手写对象的框架

    公开(公告)号:US20070140566A1

    公开(公告)日:2007-06-21

    申请号:US11314554

    申请日:2005-12-21

    IPC分类号: G06K9/46

    CPC分类号: G06K9/00416 G06K9/00449

    摘要: Computer-readable media having computer-executable instructions and apparatuses detect a structured handwritten object is detected in a handwritten document. A primitive structure, which is associated with a set of component objects, is formed. A candidate handwritten object is identified by detecting a corresponding logical structure. A classifier for the candidate handwritten object is determined. Consequently, the candidate handwritten object is validated from the classifier.

    摘要翻译: 具有计算机可执行指令和装置的计算机可读介质检测结构化手写对象在手写文档中被检测。 形成与一组组件对象相关联的原始结构。 通过检测相应的逻辑结构来识别候选手写对象。 确定候选手写物体的分类器。 因此,候选手写对象从分类器得到验证。

    Table detection in ink notes
    4.
    发明授权
    Table detection in ink notes 失效
    墨水笔记中的表检测

    公开(公告)号:US07583841B2

    公开(公告)日:2009-09-01

    申请号:US11314124

    申请日:2005-12-21

    IPC分类号: G06K9/18

    CPC分类号: G06K9/00449 G06K9/00416

    摘要: Computer-readable media having computer-executable instructions and apparatuses detect a table in a handwritten document. Line segments are derived from drawing strokes so that a bounding frame of a candidate table is obtained. An associated table structure is consequently recognized from the bounding frame, lines segments within the bounding frame, and their intersection points. A classifier that reflects at least one table characteristic is determined, and the candidate table is consequently validated or rejected.

    摘要翻译: 具有计算机可执行指令和装置的计算机可读介质检测手写文档中的表。 线段从绘图笔画得到,从而获得候选表的边界帧。 因此,从边界框架,边界框架内的线段以及它们的交点可以识别相关联的表格结构。 确定反映至少一个表特征的分类器,并且因此候选表被验证或拒绝。

    Framework for detecting a structured handwritten object
    5.
    发明授权
    Framework for detecting a structured handwritten object 有权
    用于检测结构化手写对象的框架

    公开(公告)号:US07664325B2

    公开(公告)日:2010-02-16

    申请号:US11314554

    申请日:2005-12-21

    IPC分类号: G06K9/18

    CPC分类号: G06K9/00416 G06K9/00449

    摘要: Computer-readable media having computer-executable instructions and apparatuses detect a structured handwritten object is detected in a handwritten document. A primitive structure, which is associated with a set of component objects, is formed. A candidate handwritten object is identified by detecting a corresponding logical structure. A classifier for the candidate handwritten object is determined. Consequently, the candidate handwritten object is validated from the classifier.

    摘要翻译: 具有计算机可执行指令和装置的计算机可读介质检测结构化手写对象在手写文档中被检测。 形成与一组组件对象相关联的原始结构。 通过检测相应的逻辑结构来识别候选手写对象。 确定候选手写物体的分类器。 因此,候选手写对象从分类器得到验证。

    Table detection in ink notes
    6.
    发明申请
    Table detection in ink notes 失效
    墨水笔记中的表检测

    公开(公告)号:US20070140565A1

    公开(公告)日:2007-06-21

    申请号:US11314124

    申请日:2005-12-21

    IPC分类号: G06K9/46

    CPC分类号: G06K9/00449 G06K9/00416

    摘要: Computer-readable media having computer-executable instructions and apparatuses detect a table in a handwritten document. Line segments are derived from drawing strokes so that a bounding frame of a candidate table is obtained. An associated table structure is consequently recognized from the bounding frame, lines segments within the bounding frame, and their intersection points. A classifier that reflects at least one table characteristic is determined, and the candidate table is consequently validated or rejected.

    摘要翻译: 具有计算机可执行指令和装置的计算机可读介质检测手写文档中的表。 线段从绘图笔画得到,从而获得候选表的边界帧。 因此,从边界框架,边界框架内的线段以及它们的交点可以识别相关联的表格结构。 确定反映至少一个表特征的分类器,并且因此候选表被验证或拒绝。

    Perceptual Image Preview
    7.
    发明申请
    Perceptual Image Preview 有权
    感性图像预览

    公开(公告)号:US20070196027A1

    公开(公告)日:2007-08-23

    申请号:US11276196

    申请日:2006-02-17

    IPC分类号: G06K9/40

    CPC分类号: G06T3/40 G06T2207/20008

    摘要: Systems and methods for perceptual image preview are described. In one aspect, a naive preview image is generated by downsampling a larger image. Perceptual features of the larger image are then detected. Information associated with the detected perceptual features is then incorporated into the naive preview image to create a perceptual preview image. Since the perceptual preview image incorporates information associated with the detected perceptual features, a viewer of the perceptual preview image will be more likely to detect the presence or absence of such perceptual features in the larger image.

    摘要翻译: 描述了感知图像预览的系统和方法。 在一个方面,通过对较大图像进行下采样来生成幼稚的预览图像。 然后检测较大图像的感知特征。 然后将与检测到的感知特征相关联的信息并入到初始预览图像中以创建感知预览图像。 由于感知预览图像包含与检测到的感知特征相关联的信息,感知预览图像的观看者将更可能检测更大图像中这种感知特征的存在或不存在。

    Signature verification
    8.
    发明申请
    Signature verification 有权
    签名验证

    公开(公告)号:US20070154071A1

    公开(公告)日:2007-07-05

    申请号:US11321232

    申请日:2005-12-29

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00181

    摘要: Methods and systems for training a computer to recognize and verify an individual's signature are provided. One illustrative method extracts a plurality of both global and local features from a relatively small sample of handwriting samples. In one such embodiment, only 5 samples are needed from an individual without requiring forgeries. In yet another embodiment, only three global parameters are utilized, thus reducing the complexity, and processing power, of the system. Utilizing such few global parameters also facilitates fine tuning of the systems. Further aspects of the invention relate to a multi-stage statistical system for on-line signature verification. In one embodiment, the system may comprise a simplified GMM model built on global signature properties and a left-to-right HMM model based on segmental features. In one embodiment, specific strategies are utilized to create model simplification and initialization in contrast to general GMM and HMM models.

    摘要翻译: 提供了用于训练计算机以识别和验证个人签名的方法和系统。 一个说明性方法从相对较小的笔迹样本样本中提取多个全局和局部特征。 在一个这样的实施例中,仅需要5个样本,而不需要伪造。 在另一个实施例中,仅使用三个全局参数,从而降低系统的复杂性和处理能力。 利用这么少的全局参数也有助于系统的微调。 本发明的其它方面涉及用于在线签名验证的多阶段统计系统。 在一个实施例中,系统可以包括基于全局签名特性的简化GMM模型和基于段特征的从左到右HMM模型。 在一个实施例中,与通用GMM和HMM模型相反,具体策略被用于创建模型简化和初始化。

    Signature verification
    10.
    发明授权
    Signature verification 有权
    签名验证

    公开(公告)号:US07529391B2

    公开(公告)日:2009-05-05

    申请号:US11321232

    申请日:2005-12-29

    IPC分类号: G06K9/00 G06K9/46

    CPC分类号: G06K9/00181

    摘要: Methods and systems for training a computer to recognize and verify an individual's signature are provided. One illustrative method extracts a plurality of both global and local features from a relatively small sample of handwriting samples. In one such embodiment, only 5 samples are needed from an individual without requiring forgeries. In yet another embodiment, only three global parameters are utilized, thus reducing the complexity, and processing power, of the system. Utilizing such few global parameters also facilitates fine tuning of the systems. Further aspects of the invention relate to a multi-stage statistical system for on-line signature verification. In one embodiment, the system may comprise a simplified GMM model built on global signature properties and a left-to-right HMM model based on segmental features. In one embodiment, specific strategies are utilized to create model simplification and initialization in contrast to general GMM and HMM models.

    摘要翻译: 提供了用于训练计算机以识别和验证个人签名的方法和系统。 一个说明性方法从相对较小的笔迹样本样本中提取多个全局和局部特征。 在一个这样的实施例中,仅需要5个样本,而不需要伪造。 在另一个实施例中,仅使用三个全局参数,从而降低系统的复杂性和处理能力。 利用这么少的全局参数也有助于系统的微调。 本发明的其它方面涉及用于在线签名验证的多阶段统计系统。 在一个实施例中,系统可以包括基于全局签名特性的简化GMM模型和基于段特征的从左到右HMM模型。 在一个实施例中,与通用GMM和HMM模型相反,具体策略被用于创建模型简化和初始化。