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    • 1. 发明授权
    • System and method for unconstrained on-line alpha-numerical handwriting
recognition
    • 用于无约束在线字母数字手写识别的系统和方法
    • US5841902A
    • 1998-11-24
    • US725345
    • 1996-10-01
    • Lo-Ting Tu
    • Lo-Ting Tu
    • G06K9/68G06K9/22G06K9/46G06K9/64G06K9/00G06K9/66
    • G06K9/222G06K9/00416G06K9/00429G06K9/46G06K9/64G06K2209/01
    • A character recognition system includes a character input device, such as a stylus and tablet or optical scanner, for receiving inputted characters, and a processor. The processor determines which of a number of model characters best matches the inputted character. To that end, the processor compares each inputted character to each of a plurality of classes into which the model characters are organized. Specifically, the processor extracts a feature value vector from the inputted character, and compares it to the mean feature value vector of each class. The processor recognizes the inputted character as the model character corresponding to the mean feature value vector which is closest to the feature value vector of the inputted character. The processor also constructs the database from multiple specimens of each model character. The processor organizes the specimens of each model character into multiple classes. The processor then determines the mean feature value vector of each class.
    • 字符识别系统包括用于接收输入字符的字符输入装置,例如触笔和平板电脑或光学扫描仪,以及处理器。 处理器确定多个模型字符中的哪一个与输入的字符最匹配。 为此,处理器将每个输入的字符与组织模型字符的多个类别中的每一个进行比较。 具体地,处理器从输入的字符中提取特征值向量,并将其与每个类的平均特征值向量进行比较。 处理器将输入的字符识别为对应于最接近输入字符的特征值向量的平均特征值向量的模型字符。 处理器还从每个模型字符的多个样本构建数据库。 处理器将每个模型角色的标本组织成多个类。 然后,处理器确定每个类的平均特征值向量。