International Journal on Advanced Science, Engineering and Information Technology, Vol. 1 (2011) No. 2, pages: 161-166, Proceeding of the International Conference on Advanced Science, Engineering and Information Technology (ICASEIT 2011), Bangi, Malaysia, 14-15 January 2011, DOI:10.18517/ijaseit.1.2.35

Off-line Arabic Character-Based Writer Identification – a Survey

Tarik A.H. Abu-Ain, Waleed A.H. Abu-Ain, Siti Norul Huda Sheikh Abdullah, Khairuddin Omar

Abstract

Off-line writer identification requires transferring the text under consideration into an image file. This represents the only available solution to bring the printed materials to the electronic media. However, the transferring process causes the system to lose the temporal information of that text, which it can be gathered in  on-line writer identification. Various techniques have been implemented to achieve high identification rates. These techniques have tackled different aspects of the identification system. Importance of writer identification system is to help mainly in forensic fields, historical document analysis and  handwriting recognition system enhancement. Unfortunately, the Arabic writer identification system not achieves a satisfaction rate yet whereas certain process of features and classification still not recognized.

Keywords:

Arabic writer identification, feature extraction, classification, off-line writer identification, document image analysis

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