Abstract
This article proposes a new algorithm to discriminate Arabic poems by inserting Arabic poems texts and coding Arabic letters, extracting letters features depending on letter shapes to construct a multidimensional contingency table, and analyses the frequencies of letters in the inserted texts statistically. The proposed coding and discrimination (CODIS) algorithm could be applied for different Arabic texts in any media. A sample of five poems for six poets was examined to implement a CODIS algorithm. A Chi-Square statistic is used to determine the relation between the features and discriminate poems.
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