An algorithm for constructing a multi-template dictionary for character recognition considering distribution of feature vectors
نویسندگان
چکیده
In this paper, a new algorithm to construct a multitemplate dictionary for character recognition is presented. It is a repetitive process of partitioning and estimating the distribution by observing both within-class distribution and between-class information. The effectiveness of the algorithm is shown by experimental results.
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