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Synthizing Handwritten Arabic Text Using Active Shape Models

  • Conference paper
Image Processing and Communications Challenges 3

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 102))

Summary

This research paper proposes a template based approach for generating an unlimited number of synthesized handwritten Arabic characters. It starts by generating a polygonal representation for each training sample for every character class. Then for each class an Active Shape Model (ASM) is used to unify all polygonal samples in one compact representation. Accordingly, any desired number of synthesized characters, can be produced, as a result of simple linear combination between the Eigenvalues and Eigenvectors of the ASM. Ultimately, the contour of synthesized character is smoothed using piecewise cubic hermit interpolation. Moreover, by combining multiple synthesized characters, our system is capable of producing synthesized Arabic words. Even though experiments have shown that a perfect human- like handwriting is still far away. We think that our approach is a very promising and a step forward towards achieving this goal.

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References

  1. Maegner, V., Abed, H.E.: Databases and competitions: strategies to improve Arabic recognition systems, pp. 82–103. Springer, Collage Park (2008)

    Google Scholar 

  2. Elarian, Y.S., Al-Muhsateb, H.A., Ghouti, L.M.: Arabic handwriting synthesis. In: First International Workshop on Frontiers in Arabic Handwriting Recognition (2011), http://hdl.handle.net/2003/27562

  3. Guyon, I.: Handwriting synthesis from handwritten glyphs. In: Proceedings of the Fifth International Workshop on Frontiers of Handwriting Recognition, pp. 309–312 (1996)

    Google Scholar 

  4. Margner, V., Pechwitz, M.: Synthetic data for arabic ocr system development. In: Proceedings. Sixth International Conference on Document Analysis and Recognition, pp. 1159–1163 (2001)

    Google Scholar 

  5. Varga, T., Bunke, H.: Generation of synthetic training data for an hmm-based handwriting recognition system. In: Proceedings. Seventh International Conference on Document Analysis and Recognition, vol. (1), pp. 618–622 (2003)

    Google Scholar 

  6. Wang, J., Wu, C., Xu, Y.Q., Shum, H.Y.: Combining shape and physical models for on-line cursive handwriting synthesis (2003)

    Google Scholar 

  7. Rao, P.V.S.: Shape vectors: An efficient parametric representation for the synthesis and recognition of hand script characters (1993)

    Google Scholar 

  8. Miyao, H., Maruyama, M.: Virtual example synthesis based on pca for off-line handwritten character recognition. In: Document Analysis Systems, pp. 96–105 (2006)

    Google Scholar 

  9. Cheung, K.-W., Chin, R.T., Yeung, D.-Y., Chin, T.: A bayesian framework for deformable pattern recognition with application to handwritten character recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 20, 1382–1388 (1998)

    Article  Google Scholar 

  10. Al-Zubi, S.: Active shape structural model. Technical report (2004)

    Google Scholar 

  11. Shi, D., Gunn, S.R., Damper, R.I.: Handwritten chinese radical recognition using nonlinear active shape models. IEEE Trans. Pattern Anal. Mach. Intell. 25(2), 277–280 (2003)

    Article  Google Scholar 

  12. Lam, L., Lee, S.W., Suen, C.Y.: Thinning methodologies-a comprehensive survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 14, 869–885 (1992)

    Article  Google Scholar 

  13. Bradski, G., Kaehler, A.: Learning opencv (2008)

    Google Scholar 

  14. Bender, M., Brill, M.: Computergrafik - ein anwendungsorientiertes Lehrbuch, 2. auflage editions. Hanser Verlag (2006)

    Google Scholar 

  15. Jaklic, G., Kozak, J., Krajnc, M., Vitrih, V., Zagar, E.: Geometric lagrange interpolation by planar cubic pythagorean-hodograph curves. Comput. Aided Geom. Des. 25, 720–728 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  16. Aghbari, Z.A., Brook, S.: Hah manuscripts: A holistic paradigm for classifying and retrieving historical arabic handwritten documents. Expert Syst. Appl. 36, 10942–10951 (2009)

    Article  Google Scholar 

  17. Lavrenko, V., Rath, T.M., Manmatha, R.: Holistic word recognition for handwritten historical documents. In: Proceedings of the First International Workshop on Document Image Analysis for Libraries (DIAL 2004), p. 278. IEEE Computer Society Press, Los Alamitos (2004)

    Chapter  Google Scholar 

  18. Biadsy, F., El-Sana, J., Habash, N.: Online arabic handwriting recognition using hidden markov models. In: Lorette, G. (ed.) Tenth International Workshop on Frontiers in Handwriting Recognition. Suvisoft (2006), http://www.suvisoft.com

  19. Aljuaid, H., Muhammad, Z., Sarfraz, M.: A tool to develop arabic handwriting recognition system using genetic approach

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Dinges, L., Elzobi, M., Al-Hamadi, A., Aghbari, Z.A. (2011). Synthizing Handwritten Arabic Text Using Active Shape Models. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 3. Advances in Intelligent and Soft Computing, vol 102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23154-4_45

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  • DOI: https://doi.org/10.1007/978-3-642-23154-4_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23153-7

  • Online ISBN: 978-3-642-23154-4

  • eBook Packages: EngineeringEngineering (R0)

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