Locally baseline detection for online Arabic script based languages character recognition

International Journal of Physical Sciences

Volumn 5, Issue 7, 2010, Pages 955-959

  Razzak, Muhammad Imran ^a   Sher, Muhammad ^a   Hussain, S A ^b  

^a INTERNATIONAL ISLAMIC UNIVERSITY   (Pakistan)

^b AIR UNIVERSITY   (Pakistan)

Author keywords

Arabic; Baseline; Character recognition; Naskh; Nasta'liq; Preprocessing; Skewness

Indexed keywords

EID: 77958066294     PISSN: 19921950     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. Boubaker H, Kherallah M, Alimi AM (2009) New Algorithm of Straight or Curved Baseline Detection for Short Arabic Handwritten writing, 10th International Conference on Document Analysis and Recognition.
2. Pechwitz M, Maergner V (2003). "HMM based approach for handwritten Arabic word recognition using the IFN/ENITdatabase," in Proceedings of the International Conference on Document Analysis and Recognition (ICDAR '03), Edinburgh, Scotland, August 2003, pp. 890-894.
3. Maddouri SS, Abed HE (2008). "Baseline Extraction: Comparison of Six Methods on IFN/ENIT Database "International Conference on frontiers in Handwritten Recognition.
4. Faisal S, Ul Hasan A, Dainel K, Thomas M (2004), Breuel, "Layout Analysis of Urdu Document Images" Workshop on Computational Approaches to Arabic Script-based Languages. Combining Slanted-Frame Classifiers for Improved HMM-Based Arabic Handwriting Recognition IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(7).
5. Jawad H, AlKhateeb, Jinchang Ren, Stan SI, Jianmin J (2008). Knowledge-based Baseline Detection and Optimal Thresholding for Words Segmentation in Efficient Pre-processing of Handwritten Arabic Text, Fifth International Conference on Information Technology: New Generations, pp. 1158-1159.
6. Farooq F, Govindaraju V, Perrone M (2005). "Preprocessing methods for handwritten Arabic documents". ICDAR (Proceedings of the Eighth International Conference on Document Analysis and Recognition), pp. 267-271.
7. Benoureth A, Ennaji A, Sellami M (2008). "Semi-Continuous HMMs with Explicit State Duration Applied to Arabic Handwritten Word Recognition, Pattern Recognition Letters, 29(12): 1742-1752.
8. Muhammad IR, Fareeha A, Husain SA, Abdel B, Muhammad S (2010). HMM and Fuzzy Logic: A Hybrid Approach for Online Urdu Script Based Languages Character Recognition, Int. J. Comp. Mathematics, Submitted. doi:10.1016/j.knosys.2010.06.007.
9. Ben NA, Bouslama F (2003). "Classification of Arabic Script Using Multiple Sources of Information: State of the Art and Perspective," Int'l J. Document Anal. Recog., 5: 195-212.