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    • 2. 发明授权
    • Character recognition method and system
    • 字符识别方法和系统
    • US5034991A
    • 1991-07-23
    • US505586
    • 1990-04-06
    • Kinuyo HagimaeSeiji HataSouichi Yano
    • Kinuyo HagimaeSeiji HataSouichi Yano
    • G06K9/34G06K9/32G06K9/38G06K9/62G06K9/68
    • G06K9/3283G06K9/348G06K9/38G06K9/4642G06K9/50G06K9/68G06K2209/01
    • Character recognition method and system in which a character indicated in a printed, stamped, carved or other form is two-dimensionally imaged and stored as image data and the stored image data is subjected to an image processing to recognize the character. The recognition of the character is performed in such a manner that each time the comparison of plural kinds of feature vectors extracted from the character to be recognized and a dictionary vector of each candidate character in a group of candidate characters preliminarily prepared is made for one of the plural kinds of feature vectors, a candidate character having its dictionary vector away from the extracted feature vector by a distance not smaller than a predetermined value is excluded from the candidate character group. The dictionary vector for each candidate character is defined as an average vector for a variety of fonts. A difference between the dictionary vector and the feature vector extracted from the character to be recognized is estimated by virtue of a deviation vector for the variety of fonts to produce an estimated value. The exclusion from the candidate character group is judged on the basis of the estimated values each of which is cumulatively produced each time the estimation for the difference is made.
    • 字符识别方法和系统,其中以印刷,冲压,雕刻或其他形式指示的字符被二维地成像并存储为图像数据,并且对所存储的图像数据进行图像处理以识别字符。 执行字符的识别是这样一种方式,即每次从要识别的字符提取的多种特征向量的比较和预先准备的候选字符组中的每个候选人物的字典向量进行比较, 从候选字符组中排除多种特征向量,其具有远离所提取的特征向量的字典向量不超过预定值的距离的候选字符。 每个候选字符的字典向量被定义为各种字体的平均向量。 借助于各种字体的偏差矢量来估计从要识别的字符提取的字典向量和特征向量之间的差异以产生估计值。 基于在每次进行差异估计时累积产生的估计值来判断排除候选字符组的排除。