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Brazilian Symposium on Document Image Analysis

BSDIA 1997: Advances in Document Image Analysis pp 40–59Cite as

Recognition of printed and handwritten Arabic characters

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1339))

Abstract

Within the image processing arena, the field of pattern recognition or matching has been the focus of extensive research. Many researchers have attempted to solve the problem of pattern recognition in general, while many others have been interested in the specific problem of character recognition because of its potential application. In addition, the automated recognition and processing of (Hand-) printed characters is also the basic function that should be given attention in order to improve man-machine communication. A large number of research papers and reports have already been published on Latin, Chinese and Japanese characters. However, although almost a third of a billion people worldwide, in several different languages, use Arabic characters for writing, little research progress, in both on-line and off-line, has been achieved towards the recognition of Arabic characters. This is a result of the lack of adequate support in terms of funding, and other utilities such as Arabic database, dictionaries, etc.. The main objectives of this paper are: to identify the major problems related to handwritten and printed Arabic characters; to present a general panorama on the research technique in the domain of Arabic character recognition and, in particular, to present some different systems that we have developed during the past two decades in both on-line and off-line recognition

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References

  1. L. D. Harmon, Automatic recognition of printed and script, Proc. IEEE, 60, 10,1165–1177,1972.

    Google Scholar 

  2. A. A. Spanjersberg, Experiments with automatic input of handwritten numerical data into a large administrative system, IEEE Trans. Man Cybern. 8 (4), 286–288, 1978.

    Google Scholar 

  3. L. R. Focht and A. Burger, A numeric script recognition processor for postal zip code application, Int. Conf. Cybernetics and Society, 486–492, 1976.

    Google Scholar 

  4. J. Schuermann, Reading Machines, 6th Int. Conf on Pattern Recognition, Munich, Germany, 1031–1044, 1982.

    Google Scholar 

  5. R. Plamondon and R. Baron, On-line recognition of handprint schematic pseudocode for automatic Fortran code generator, 8 th Int. Conf on Pattern Recognition, Paris, 741–745, 1986

    Google Scholar 

  6. A. Amin and S. Al-Fedaghi, Machine recognition of printed Arabic text utilising a natural language morphology, Int. J. of Man-Machine Studies 35(6), 769–788,1991.

    Google Scholar 

  7. D. Guillevic and C. Y. Suen, Cursive script recognition: A fast reader scheme, 2nd Int. Conf. on Document Analysis and Recognition, Japan, 311–314, 1993.

    Google Scholar 

  8. M. K. Brown and S. Ganapathy, Preprocessing technique for cursive script word recognition, Pattern Recogn. 19(1), 1–12, 1983.

    Google Scholar 

  9. R. H. Davis and J. Lyall, Recognition of handwritten characters a review, Image and Vision Computing 4(4), 208–218, 1986.

    Google Scholar 

  10. E. Lecolinet and O. Baret, Cursive Word Recognition: Methods and Strategies, Fundamentals in Handwriting Recognition, ed. S. Impedovo, 235–263, 1994.

    Google Scholar 

  11. C. Y. Suen, R. Shingal and C. C. Kwan, Dispersion factor: A quantitative measurement of the quality of handprinted characters, Int. Conf. of Cybernetics and Society, pp. 681–685, 1977.

    Google Scholar 

  12. A. Amin and A. Shoukry, Topological and statistical analysis of line drawing, Pattern Recogn. Lett. 1, 365–374, 1983.

    Google Scholar 

  13. J. Kim and C. C. Tappert, Handwriting recognition accuracy versus tablet resolution and sampling rate, 7 th Int. Conf. on Pattern Recognition, Montreal, 917–918,1984.

    Google Scholar 

  14. J. R. Ward and T. Kuklinski, A model for variability effects in handprinted with implication for the design of handwritten character recognition system, IEEE Trans. Man Cybern. 18, 438–451, 1988.

    Google Scholar 

  15. F. Nouboud and R. Plamondon, On-line recognition of handprinted characters: Survey and beta tests, Pattern Recogn. 25(9), 1031–1044, 1990.

    Google Scholar 

  16. C. Tappert, C. Y. Suen and T. Wakahara, The state of the art in One-line Handwriting Recognition, IEEE Trans. Pattern Anal Machine Intell. PAMI-12, 787–808, 1990.

    Google Scholar 

  17. C. Y. Suen, M. Berthod and S. Mori, Automatic recognition of handprinted characters, the state of the art, Proc. IEEE 68 (4), 469–483, 1980.

    Google Scholar 

  18. J. R. Ullmann, Advance in character recognition, Application of Pattern Recognition, ed. K. S. Fu, 197–236,1982.

    Google Scholar 

  19. V. K. Govindan and A. P. Shivaprasad, Character recognition A-review, Pattern Recogn. 23 (7), 671–683, 1990.

    Google Scholar 

  20. S. Impedovo, L. Ottaviano and S. Occhinegro, Optical character recognitionA survey, Int. J. of Pattern Recogn. and Artif. Intell. 5 (1&2) 1–24, 1991.

    Google Scholar 

  21. S. Srihari, From pixel to paragraphs: the use of models in text recognition, Second Annual Symp on Document Analysis and Information Retrieval, Las Vegas, USA, 47–64, 1993.

    Google Scholar 

  22. M. Khemakhem, Reconnaissance de caracters imprimes par comparaison dynamique, These de Doctorate de 3 e'me cycle, University of Paris XI, 1987.

    Google Scholar 

  23. M. Khemakhem and M. C. Fehri, Recognition of Printed Arabic charcters by comparaison dynamique, Proc. First Kuwait Computer Conference, pp. 448–462, 1989.

    Google Scholar 

  24. H. Y. Abdelazim and M. A. Hashish, Interactive font learning for Arabic OCR, Proc. First Kuwait Computer Conference, 464–482, 1989.

    Google Scholar 

  25. H. Y. Abdelazim and M. A. Hashish, Automatic recognition of handwritten Hindi numerals, Proc. of the 11th National Computer Conference, Dhahran, 287–299,1989.

    Google Scholar 

  26. Z. Emam and M. A. Hashish, Application of Hidden Markov Model to the recognition of isolated Arabic word, Proc. of the 11th National Computer Conference, Dhahran, 761–774, 1989.

    Google Scholar 

  27. R. Schwartz, C. LaPre, J. Makhoul, C. Raphael, and Y. Zhao. Language independent ocr using a continuous speech recognition system. 13th International Conference on Pattern Recognition, vol. C, pages 99–103, Vienna, Austria, 1996.

    Google Scholar 

  28. B. Al-Badr and S. Mahmoud, Survey and bibliography of Arabic optical text recognition, Signal Processing 41, 49–77, 1995.

    Google Scholar 

  29. A. Amin, Arabic Character Recognition. Handbook of Character Recognition and Document Image Analysis edited by H Bunke and P S P Wang, May 1997.

    Google Scholar 

  30. A. Amin, A. Kaced, J. P. Haton and R. Mohr, Handwritten Arabic characters recognition by the IRAC system, 5th Int. Conf. on Pattern Recognition, Miami, USA, 729–731, 1980.

    Google Scholar 

  31. M. Berthod and P. Jancenn, Le pretraitement des traces manuscrits sur une tablette graphique, 2eme, congres AFCET-INRIA, Toulouse, France, 195–209, 1979.

    Google Scholar 

  32. A. Amin, Machine recognition of handwritten Arabic word by the IRAC II system, 6th Int. Conf. on Pattern Recognition, Munich, 34–36, 1982.

    Google Scholar 

  33. E. M. Riseman and R. W. Ehrich, Contextual word recognition usig binary diagrams, IEEE Trans. Computer c-20 (4), 397–403, 1971.

    Google Scholar 

  34. A. Amin, G. Masini and J. P. Haton, Recognition of handwritten Arabic words and sentences, 7th Int. Conf. on Pattern Recognition, Montreal, 1055–1057, 1984.

    Google Scholar 

  35. A. Amin, IRAC: Recognition and understanding systems, Applied Arabic Linguistic and Signal and Information Processing, ed. R. Descout, Hemisphere, New York, 159–170, 1987.

    Google Scholar 

  36. T. S. El-Sheikh and S. G. El-Taweel, Real-time Arabic handwritten character recognition, Pattern Recogn. 23 (12), 1323–1332, 1990.

    Google Scholar 

  37. S. Al-Emami and M. Usher, On-line recognition of handwritten Arabic characters, IEEE Trans. Pattern Anal Machine Intell. PAMI-12, 704–710, 1990.

    Google Scholar 

  38. A. Belaid and J. P. Haton, A syntactic approach for handwritten mathematical formula recognition, IEEE Trans. Pattern Anal. Machine Intell. PAMI-6. 105–111,1984.

    Google Scholar 

  39. A. Amin and G. Masini, Machine recognition of muti-fonts printed Arabic texts, 8th Int. Conf. on Pattern Recognition, Paris, 392–395, 1986.

    Google Scholar 

  40. A. Amin and J. F. Mari, Machine recognition and correction of printed Arabic text, IEEE Trans. Man Cybern. 9(1), 1300–1306, 1989.

    Google Scholar 

  41. H. Almuallim and S. Yamaguchi, A method of recognition of Arabic cursive handwriting, IEEE, Trans. Pattern Anal. and Machine Intell. PAMI-9, 715–722,1987.

    Google Scholar 

  42. T. El-Sheikh and R. Guindi, Computer recognition of Arabic cursive script, Pattern Recogn. 21(4), 293–302, 1988.

    Google Scholar 

  43. F. El-Khaly and M. Sid-Ahmed, Machine recognition of optically captured machine printed Arabic text, Pattern Recog. 23 (11), 1207–1214, 1990.

    Google Scholar 

  44. A. Shoukry, A sequential algorithm for the segmentation of typewritten Arabic digitized text, Arabian J. Sc. and Eng. 16(4), 543–556, 1991.

    Google Scholar 

  45. T. Wakayama, A core-line tracing algorithm based on maximal square moving, IEEE Trans. Pattern Analysis and Machine Intell. PAMI-4, 68–74, 1982.

    Google Scholar 

  46. B. M. Kurdy and A. Joukhadar, Multifont recognition system for Arabic characters, 3rd Int. Conf. and Exhibition on Multi-lingual Computing (Arabic and Roman Script), U.K, 731–739, 1992.

    Google Scholar 

  47. A. Amin and H. Al-Sadoun, A segmentation technique of Arabic text, 11th Int. Conf. on Pattern Recognition, 441–445, 1992.

    Google Scholar 

  48. H. B. Al-Sadoun and A. Amin, A new structural technique for recognizing printed Arabic text, Int. J. of Pattern Recognition and Artif. Intell. 9(1), 101–125,1995.

    Google Scholar 

  49. H. Freeman, On the encoding of arbitrary geometric configuration, IEEE. Trans. Electronic Comp. EC-10, 260–268, 1968.

    Google Scholar 

  50. B. Parhami and M. Taraghi, Automatic recognition of printed Farsi texts, Pattern Recog. 14,(6), 395–403, 1981.

    Google Scholar 

  51. S. Saadallah and S. Yacu, Design of an Arabic character reading machine, Proc. of computer Processing of the Arabic language, Kuwait, 1985.

    Google Scholar 

  52. D. Forney, The Viterbi algorithm, Proc. IEEE 61(3), 268–278, 1973.

    Google Scholar 

  53. S. El-Dabi, R. Ramsis and A. Kamel, Arabic charcter recognition system: Statistical approach for recognizing cursive typewritten text, Pattern Recogn. 23 (5),485–495,1990.

    Google Scholar 

  54. H. Al-Yousefi and S. S. Udpa, Recognition of Arabic characters, IEEE Trans. Pattern Anal. and Machine Intell. PAMI-14, 853–857, 1992.

    Google Scholar 

  55. A. Nouh, A. Ula and A. Sharaf-Edin, Boolean recognition technique for typewritten Arabic character set, Proc. 1st King Saud Univ. Symp. on Computer Arabization, Riyadh, 90–97,1987.

    Google Scholar 

  56. K. Jambi, Arabic charcter recognition: Many approaches and one decade, Arabian J. Sc. Eng. 16 (4), 499–509, 1991.

    Google Scholar 

  57. A. Amin and H. AI-Sadoun, Handprinted Arabic character recognition system, 12th Int. Conf. on Pattern Recognition, 536–539, 1994.

    Google Scholar 

  58. A. Amin and H. Al-Sadoun, Handprinted Arabic character recognition system using an arficial neural network, Pattern Recognition 29 (4), 663–675, 1996.

    Google Scholar 

  59. M. Altuwaijri, and M. Bayoumi, Arabic Text Recognition Using Neural Networks, International Symposium on Circuits and Systems-ISCAS'94. pp. 415–418,1994.

    Google Scholar 

  60. B. Al-Badr and R. Haralick, Segmentation-free word recognition with application to Arabic, 3rd Int. Conf. on Document Analysis and Recognition, Montreal, 355–359, 1995.

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, University of New South Wales, 2052, Sydney New South Wales, Australia

    Adnan Amin

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  1. Adnan Amin
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Nabeel A. Murshed Flávio Bortolozzi

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© 1997 Springer-Verlag Berlin Heidelberg

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Amin, A. (1997). Recognition of printed and handwritten Arabic characters. In: Murshed, N.A., Bortolozzi, F. (eds) Advances in Document Image Analysis. BSDIA 1997. Lecture Notes in Computer Science, vol 1339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63791-5_3

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  • DOI: https://doi.org/10.1007/3-540-63791-5_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63791-2

  • Online ISBN: 978-3-540-69646-9

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