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Statistical-based recognition of similar characters

机译:基于统计的相似字符识别

摘要

A character recognition device and system:PP(1) constructs a database comprising pairs of similar-looking characters; PP(2) selects critical features distinguishing these characters from each other; andPP(3) performs a recognition process based on the selected critical features.P PIn the present invention, sample data is automatically analyzed to construct a feature reference database for a typical character recognition device. If two characters are confused for a threshold number of times, this pair is considered to be similar- looking or confusing. The reference data already accumulated is statistically analyzed for each similar-looking pair to determine the importance of certain features in distinguishing the two characters. These features are further statistically analyzed so that only the most dominant features will be looked at and the less dominant or similar- looking features will be ignored. A table is constructed containing a list of all similar-looking characters and the number of dominant, distinguishing features that are statistically likely to be present in order to select a top candidate character.
机译:一种字符识别设备和系统:

(1)构造一个数据库,该数据库包括成对的相似字符;

(2)选择区分这些字符的关键特征; (3)根据选择的关键特征进行识别处理。

在本发明中,自动分析样本数据以构建用于典型字符识别设备的特征参考数据库。如果两个字符混淆了一次阈值次数,则这对字符看起来相似或令人困惑。对于每个看起来相似的对,对已经积累的参考数据进行统计分析,以确定某些特征在区分两个字符中的重要性。对这些特征进行进一步的统计分析,以便仅查看最主要的特征,而忽略次要的或外观相似的特征。构造一个表,其中包含所有看起来相似的字符的列表以及统计上可能出现的主要的,明显的区别特征的数量,以便选择顶部候选字符。

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