Word-matching method based on the projection of the voting matrix
نویسندگان
چکیده
A new word-matching method is proposed that is able to achieve matching speedily and correctly even in the presence of noise at the beginning, end or within the word. This method can use the discriminant function in order to choose the most fitting word from the database. These functions take into consideration factors such as the character recognition rate and word segmentation rate. In addition, the method can determine the difference in noise between the word in the database (reference word) and the word extracted from the character line and recognized (character-recognition result).
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تاریخ انتشار 2000