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1. 发明授权

US06326957B1 System and method for displaying page information in a personal digital notepad 有权
标题翻译：在个人数字记事本中显示页面信息的系统和方法
公开(公告)号：US06326957B1
公开(公告)日：2001-12-04
申请号：US09240213
申请日：1999-01-29
申请人： Krishna S. Nathan , Michael P. Perrone , John F. Pitrelli , Eugene H. Ratzlaff , Jayashree Subrahmonia
发明人： Krishna S. Nathan , Michael P. Perrone , John F. Pitrelli , Eugene H. Ratzlaff , Jayashree Subrahmonia
IPC分类号： G09G500
CPC分类号： G06F3/04883 , G06F3/0488
摘要： System and methods for visually displaying page information in a handwriting recording device such as a personal digital notepad (PDN) device, in which constraints exist which limit the size of a user interface display (e.g. LCD). Various methods allow a user to view detailed page information by selecting one or more available display modes which display the selected information using one or more dynamic icons. In addition, the user can view (via the display) selected portions of handwriting content of a given electronic page, thereby affording the user the opportunity to synchronize the stored handwriting data with the handwritten text.
摘要翻译：在诸如个人数字记事本（PDN）设备的手写记录设备中可视地显示页面信息的系统和方法，其中存在限制用户界面显示（例如LCD）的大小的约束。各种方法允许用户通过选择使用一个或多个动态图标显示所选信息的一个或多个可用显示模式来查看详细的页面信息。此外，用户可以（通过显示器）查看给定电子页面的手写内容的所选部分，从而为用户提供将存储的笔迹数据与手写文本同步的机会。

2. 发明授权

US06401067B2 System and method for providing user-directed constraints for handwriting recognition 有权
标题翻译：用于提供用户指导的手写识别约束的系统和方法
公开(公告)号：US06401067B2
公开(公告)日：2002-06-04
申请号：US09238288
申请日：1999-01-28
申请人： James R. Lewis , Michael P. Perrone , John F. Pitrelli , Eugene H. Ratzlaff , Jayashree Subrahmonia
发明人： James R. Lewis , Michael P. Perrone , John F. Pitrelli , Eugene H. Ratzlaff , Jayashree Subrahmonia
IPC分类号： G10L1500
CPC分类号： G06K9/00 , G06K9/6253 , G06K9/72 , G06K2209/01
摘要： A data recognition system and method which allows a user to select between a “default recognition” mode and a “constrained recognition” mode via a user interface. In the default recognition mode, a recognition engine utilizes predetermined default recognition parameters to decode data (e.g., handwriting and speech). In the constrained recognition mode, the user can select one or more of a plurality of recognition constraints which temporarily modify the default recognition parameters to decode uncharacteristic and/or special data. The recognition parameters associated with the selected constraint enable the recognition engine to utilize specific information to decode the special data, thereby providing increased recognition accuracy.
摘要翻译：一种数据识别系统和方法，其允许用户经由用户界面在“默认识别”模式和“约束识别”模式之间进行选择。在默认识别模式中，识别引擎利用预定的默认识别参数来解码数据（例如手写和语音）。在约束识别模式中，用户可以选择临时修改默认识别参数以解码非特征和/或特殊数据的多个识别约束中的一个或多个。与所选约束相关联的识别参数使得识别引擎能够利用特定信息来解码特殊数据，从而提高识别精度。

3. 发明授权

US06567548B2 Handwriting recognition system and method using compound characters for improved recognition accuracy 有权
标题翻译：手写识别系统和方法使用复合字符提高识别精度
公开(公告)号：US06567548B2
公开(公告)日：2003-05-20
申请号：US09240362
申请日：1999-01-29
申请人： Krishna S. Nathan , Michael P. Perrone , John F. Pitrelli
发明人： Krishna S. Nathan , Michael P. Perrone , John F. Pitrelli
IPC分类号： G06K918
CPC分类号： G06K9/6255 , G06K9/00852
摘要： A handwriting recognition system and method whereby various character sequences (which are typically “slurred” together when handwritten) are each modelled as a single character (“compound character model”) so as to provide increased decoding accuracy for slurred handwritten character sequences. In one aspect of the present invention, a method for generating a handwriting recognition system having compound character models comprises the steps of: providing an initial handwriting recognition system having individual character models; collecting and labelling a set of handwriting data; aligning the labelled set of handwriting data; generating compound character data using the aligned handwriting data; and retraining the initial recognition system with the compound character data to generate a new recognition system having compound character models. Once these compound character models are trained, they may be used to accurately decode slurred handwritten character sequences for which compound character models were previously generated. Once recognized, the compound characters are expanded into the constituent individual characters comprising the compound character.
摘要翻译：各种字符序列（手写时通常“模糊”在一起）的手写识别系统和方法各自被建模为单个字符（“复合字符模型”），以便为模糊的手写字符序列提供增加的解码精度。在本发明的一个方面中，一种生成具有复合字符模型的手写识别系统的方法包括以下步骤：提供具有各个角色模型的初始手写识别系统; 收集和标注一组手写数据; 对准标签的笔迹数据集; 使用对齐的手写数据生成复合字符数据; 并用复合字符数据重新训练初始识别系统，以生成具有复合字符模型的新识别系统。一旦这些复合字符模型被训练，它们可以用于准确地解码先前生成复合字符模型的模糊手写字符序列。一旦识别，复合字符将扩展成包含复合字符的组成单个字符。

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