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    • 2. 发明授权
    • Pen-based handwritten character recognition and storage system
    • 笔式手写字符识别和存储系统
    • US07164793B2
    • 2007-01-16
    • US11111248
    • 2005-04-20
    • David R. WilliamsKathie S. Richter
    • David R. WilliamsKathie S. Richter
    • G06K9/00
    • G06K9/228G06K9/222G06K9/24
    • The present invention is directed to an improved system and method in which a pen-sized and shaped device detects, recognizes and stores handwriting as it is written by the device. The invention employs both an active feedback network and a character recognition methodology of partitioning detected input into character components. The active feedback network continually monitors device output to determine the sufficiency of the data input. If the data input is insufficient, the device modifies its detection methodology to obtain data the device readily recognizes. Data recognition is performed in multiple asynchronous processes. Elements of individual characters are sampled by the detector. Character elements are processed and recognized on this elemental level. Recognized character elements are stored for subsequent assembly and recognition on a character level. Thus, preferably two recognition sub-processes take place, one on a character element level and another on a character level.
    • 本发明涉及一种改进的系统和方法,其中笔形和成形装置在设备写入时检测,识别和存储笔迹。 本发明采用主动反馈网络和将检测到的输入划分为字符分量的字符识别方法。 主动反馈网络持续监控设备输出,以确定数据输入的充足性。 如果数据输入不足,则设备修改其检测方法以获得设备容易识别的数据。 数据识别在多个异步进程中执行。 单个字符的元素由检测器采样。 字符元素在此元素级上被处理和识别。 存储识别的字符元素用于在字符级上的后续装配和识别。 因此,优选地进行两个识别子过程,一个在字符元素级上,另一个在字符级上。