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Character recognition system and method using spatial and structural feature extraction

机译:利用空间和结构特征提取的字符识别系统和方法

摘要

A character recognition system and method implement a classification system according to which each character of a set of characters is identifiable at least partially on the basis of a set of character feature types indicative of the identity of the character, the set of character feature types including (i) bars; (ii) lakes and (iii) bays. A character image is algorithmically scanned in each direction of a predetermined set of scan directions in order to extract data relating to bars, lakes and/or bays. A feature vector is assembled based on the algorithmically extracted data and rendered accessible to character recognition apparatus. The character recognition apparatus is adapted to recognize a character corresponding to an assembled feature vector at least partially on the basis of the quantity of each of (i) bars; (ii) lakes and (iii) bays indicated in the feature vector and to provide an output identifying the recognized character.
机译:一种字符识别系统和方法实现了一种分类系统,根据该分类系统,至少部分地基于指示字符身份的一组字符特征类型来识别一组字符中的每个字符,该组字符特征类型包括: (i)酒吧; (ii)湖泊和(iii)海湾。在预定的一组扫描方向的每个方向上算法扫描字符图像,以便提取与条,湖和/或海湾有关的数据。基于算法提取的数据组装特征向量,并使特征向量可用于字符识别设备。字符识别设备适于至少部分地基于(i)条中的每一个的数量来识别与组装的特征向量相对应的字符; (ii)要素向量中指示的湖泊和(iii)海湾,并提供标识已识别字符的输出。

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