WRITER IDENTIFICATION OF ARABIC TEXT USING STATISTICAL AND STRUCTURAL FEATURES
Author:
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Information Systems,Software
Link
http://www.tandfonline.com/doi/pdf/10.1080/01969722.2012.732802
Reference68 articles.
1. Abdi , M. , Khemakhem , M. , and Ben-Abdallah , H. “A Novel Approach for Off-Line Arabic Writer Identification Based on Stroke Feature Combination.” In24th International Symposium on Computer and Information Sciences, 597–600. Guzelyurt, Northern Cyprus: IEEE, 2009.
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4. Al-Ma'adeed , S. , Al-Kurbi , A. , Al-Muslih , A. , Al-Qahtani , R. , and Al Kubisi , H. “Writer Identification of Arabic Handwriting Documents Using Grapheme Features.” InIEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2008, 923–924. Doha, Qatar, 2008.
5. Al-Ma'adeed , S. , Mohammed , E. , and Al Kassis , D. “Writer Identification Using Edge-Based Directional Probability Distribution Features for Arabic Words.” InIEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2008), 582–590. Doha, Qatar, 2008.
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