Off-line Arabic Character-Based Writer Identification – a Survey
| Main Authors: | Abu-Ain, Tarik A.H.; Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology Universiti Kebangsaan Malaysia, Abu-Ain, Waleed A.H.; Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology Universiti Kebangsaan Malaysia, Sheikh Abdullah, Siti Norul Huda; Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology Universiti Kebangsaan Malaysia, Omar, Khairuddin; Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology Universiti Kebangsaan Malaysia |
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| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
International Journal on Advanced Science, Engineering and Information Technology
, 2011
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| Subjects: | |
| Online Access: |
http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/35 http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/35/37 |
Daftar Isi:
- 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 Importance of writer identification system is to help mainly in forensic fields, historical document analysis and handwriting recognition system enhancement.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.