Arabic writer identification: a review of literature

Abstract

In this paper we present a survey of the literature on Arabic writer identification scheme and up-to date techniques employed in identification. The paper begins with an overview of the various writer identification schemes in Arabic and Persian languages. After that, an attempt is made to describe the complex character of Arabic strokes. Previous studies have used a number of Arabic datasets comprised of handwritten text samples that have been used over the years aimed to support handwriting recognition. In automated writer identification, two methods of identification are available text independent and text dependent methods. These are the key focus of this paper. For evaluation purposes we have analyzed the Arabic writer identification scheme by comparing the recognition rate of different methods