Abstract

This paper proposes a new algorithm to discriminate Arabic poems by inserting the Arabic poems texts and coding Arabic letters, extracting letters features depending on letters shapes to construct 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 (CODIS) algorithm. Chi-Square statistic is used to determine the relation between the features and discriminate poems.

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