Abstract
The exceptionality of shape and style of authors can be used for author's identification. The goalmouth of authorship attribution is to identify a set of features that remain relatively constant among a number of. writings by a particular author. This paper deals with text author identification problem using 'character n-grams. However, the commonly usage is total n-gram for identification purpose but we consider all types of n-grams e.g. initial, medial, final and total bi-grams and tri-grams. Experiments show that author profiles generated with initial bi-gram and initial tri-gram are effective in identifying texts authors in comparison with other n-gram profiles. The results disclosed in this paper leads to approximate 100 % accuracy in identifying the author from unknown text.