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Segmentation of Arabic Text into Characters for Recognition

  • Conference paper
Wireless Networks, Information Processing and Systems (IMTIC 2008)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 20))

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Abstract

One of the steps of character recognition systems is the segmentation of words/sub-words into characters. The segmentation of text written in any Arabic script is a most difficult task. Due to this difficulty, many systems consider sub-words instead of a character as the basic unit for recognition. We propose a method for the segmentation of printed Arabic words/sub-words into characters. In the proposed method, primary and secondary strokes of the sub-words are separated and then segmentation points are identified in the primary strokes. For this, we compute the vertical projection graph for each line, which is then processed to generate a string indicating relative variations in pixels. The string is scanned further to produce characters from the sub-words. In the proposed method we use Sindhi text for segmentation into characters as its character set is the super set of Arabic. This method can be used for any other Naskh-based Arabic script such as Persian, Pashto and Urdu.

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References

  1. Abdullah, I., Al-Shoshan: Arabic OCR Based on Image Invariants. In: Proceedings of the Geometric Modeling and Imaging – New Trends, pp. 150–154 (2006)

    Google Scholar 

  2. Nouh, A., Sultan, A., Tolba, R.: An approach for Arabic characters Recognition. J. Engng Sci. Univ. Riyadh. 6, 185–191 (1980)

    Google Scholar 

  3. Badr, B.A., Mahmoud, S.A.: A survey and bibliography of Arabic optical text recognition. Signal Processing 41, 49–76 (1995)

    Article  Google Scholar 

  4. Zheng, L.: Machine Printed Arabic Character Recognition Using S-GCM. In: Proceedings of 18th International Conference on Pattern Recognition, vol. 2, pp. 893–896 (2006)

    Google Scholar 

  5. Mandana, K., Amin, A.: Pre-processing and Structural Feature Extraction for a Multi-Fonts Arabic/Persian OCR. In: Proceedings of 5th Intl. Conference on Document Analysis and Recognition (1999)

    Google Scholar 

  6. Somaya, A.: Recognition of Off-Line Handwritten Arabic Words Using Neural Network. In: Proceedings of the Geometric Modeling and Imaging – New Trends, pp. 141–144 (2006)

    Google Scholar 

  7. Elgammal, A., Ismail, M.A.: A graph-based segmentation and feature extraction framework for Arabic text recognition. In: Proceedings of 6th Intl. Conference on Document Analysis and Recognition, pp. 622–627 (2001)

    Google Scholar 

  8. Pakker, K.R., Miled, H., Lecourtier, Y.: A new approach for Latin/Arabic character segmentation. In: Proceedings of 3rd Intl. Conference on Document Analysis and Recognition, vol. 2, pp. 874–878 (1995)

    Google Scholar 

  9. Najoua, B.A., Noureddine, E.: A robust approach for Arabic printed character segmentation. In: Proceedings of 3rd Intl. Conference on Document Analysis and Recognition, vol. 2, pp. 865–868 (1995)

    Google Scholar 

  10. Motawa, D., Amin, A., Sabourin, R.: Segmentation of Arabic cursive script. In: Proceedings of the 4th International conference on Document Analysis and Recognition, pp. 625–628 (1997)

    Google Scholar 

  11. Sarfraz, M., Nawaz, S.N., Al-Khuraidly, A.: Offline Arabic text recognition system. In: Proceedings of the Int. Conference on Geometric Modeling and Graphics, pp. 30–35 (2003)

    Google Scholar 

  12. Ymin, A., Aoki, Y.: On the segmentation of multi-font printed Uygur scripts. In: Proceedings of Intl. Conference on Pattern Recognition, vol. 3, pp. 215–220 (1996)

    Google Scholar 

  13. El-Khaly, F., Sid-Ahmed, M.A.: Machine recognition of optically captured machine printed Arabic text. Proceedings of Pattern Recognition 23, 1207–1214 (1990)

    Article  Google Scholar 

  14. Margner, V.: SARAT - A system for the recognition of Arabic printed text. In: Proceedings of 11th Intl. Conference on Pattern Recognition, pp. 561–564 (1992)

    Google Scholar 

  15. Sari, T., Souici, L., Sellami, M.: Off-line handwritten Arabic character segmentation algorithm: ACSA. In: Proceedings of Intl. Workshop on Frontiers of Handwriting Recognition, pp. 452–456 (2002)

    Google Scholar 

  16. Mehran, R., Pirsiavash, H., Razzazi, F.: A Front-end OCR for Omni-font Persian/Arabic Cursive Printed Documents. In: Proceedings of the Digital Imaging Computing: Techniques and Applications, pp. 56–60 (2005)

    Google Scholar 

  17. Wang, Z., Lu, Y., Tan, C.L.: Word extraction using area Voronoi diagram. In: Proceedings of the Conference on Computer Vision and Pattern Recognition Workshop, vol. 3, pp. 31–36 (2003)

    Google Scholar 

  18. Gonzalez, R.C., Woods, R.E., Eddins, S.L.: Digital image processing using MatLab. 3rd Indian Reprint (2005)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Assistant Professor and PhD Scholar, Shah A Latif University, Khairpur, Pakistan

    Noor Ahmed Shaikh & Ghulam Ali

  2. Professor & Director, FAST-NU, Karachi, Pakistan

    Zubair Ahmed Shaikh

Authors
  1. Noor Ahmed Shaikh
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  2. Zubair Ahmed Shaikh
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  3. Ghulam Ali
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Editor information

Editors and Affiliations

  1. Department of Software Engineering & Media Technology, Aalborg University, Niels Bohrs Vej 8, 6700, Esbjerg, Denmark

    D. M. Akbar Hussain

  2. Mehran University of Engineering & Technology, Jamshoro, Pakistan

    Abdul Qadeer Khan Rajput

  3. Department of Electronics and Telecommunication Engineering, Faculty of Electrical, Electronics & Computer Engineering, Mehran UET, Jamshoro, Pakistan

    Bhawani Shankar Chowdhry

  4. Learning Societies Lab, Electronics and Computer Science, University of Southampton, United Kingdom

    Quintin Gee

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© 2008 Springer-Verlag Berlin Heidelberg

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Shaikh, N.A., Shaikh, Z.A., Ali, G. (2008). Segmentation of Arabic Text into Characters for Recognition. In: Hussain, D.M.A., Rajput, A.Q.K., Chowdhry, B.S., Gee, Q. (eds) Wireless Networks, Information Processing and Systems. IMTIC 2008. Communications in Computer and Information Science, vol 20. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89853-5_4

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  • DOI: https://doi.org/10.1007/978-3-540-89853-5_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89852-8

  • Online ISBN: 978-3-540-89853-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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