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Brazilian Symposium on Document Image Analysis

BSDIA 1997: Advances in Document Image Analysis pp 1–18Cite as

Handwriting recognition: State of the art and future trends

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

Abstract

This paper presents the State of the Art on handwriting recognition and points out some major future trends of scientific research in this field. Some of the most relevant results presented in the series of Workshops on Frontiers in Handwriting Recognition and Conferences on Document Analysis and Recognition are also discussed and an extensive bibliography of selected papers is reported.

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References

  1. S. Impedovo, “Frontiers in Handwriting Recognition”, in “Fundamentals in Handwriting Recognition”, S. Impedovo (ed.), NATO-ASI Series, SpringerVerlag Publ., Berlin, 1994

    Google Scholar 

  2. S. Impedovo, L. Ottaviano, S. Occhinegro, “Optical Character Recognition-A Survey”, International Journal of Pattern Recognition and Artificial Intelligence 5 (1,2), 1–24 (1991).

    Google Scholar 

  3. R.G. Casey, H. Takahashi, “Experience in segmenting and classifying the NIST data base”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 5–16.

    Google Scholar 

  4. V. Govindaraju, S.N. Srihari, “Separating handwritten text from interfering stroke”, in “From Pixels to Features III-Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp.17–28.

    Google Scholar 

  5. H. Nishida, T. Suzuki, S. Mori, “Thin line representation from contour representation of handprinted characters”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 29–40.

    Google Scholar 

  6. R. Fenrich, “Segmentation of automatically located handwritten numeric strings”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 47–60.

    Google Scholar 

  7. Y.-J. Liu, J.-W. Tai, “An on-line Chinese character recognition system for handwritten in Chinese calligraphy”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 87–99.

    Google Scholar 

  8. M.J.J. Holt, M.M. Beglou, S. Datta, “Slant-independent letter segmentation for off-line cursive script recognition”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 41–46.

    Google Scholar 

  9. J.J. Hull, T.K. Ho, J. Favata, V. Govindaraju, S.N. Srihari, “Combination of segmentation-based and wholistic handwritten word recognition algorithms”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 261–272.

    Google Scholar 

  10. T. Fujisaki, H.S.M. Beigi, C.C. Tappert, M. Ukelson, C.G. Wolf, “On-line recognition of unconstrained handprinting: a stroke based system and its evaluation”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 297–312.

    Google Scholar 

  11. C.A. Higgins, D.M. Ford, “A new segmentation method for cursive script recognition”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 75–86.

    Google Scholar 

  12. K. Yamamoto, H. Yamada, T. Saito, “Current state of recognition method for Japanese characters and database for research of handprinted character recognition”, in “From Pixels to Features III-Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 105–116.

    Google Scholar 

  13. S.L. Shiau, S.J. Kung, A.J. Hsieh, J.W. Chen, M.C.Kao, “Stroke-order free on-line Chinese character recognition by structural decomposition method”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 117–128.

    Google Scholar 

  14. A.C. Downton, R.W.S. Tregidgo, C.G. Leedham, Hendrawan, “Recognition of handwritten British postal addresses”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 129–144.

    Google Scholar 

  15. P.S.P. Wang, M.V. Nagendraprasad, A.Gupta, “A neural net based ‘hybrid’ approach to handwritten numeral recognition”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 145–154.

    Google Scholar 

  16. Y. Nakano, “Advanced application systems for handwritten character recognition”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 185–190.

    Google Scholar 

  17. K. Seino, Y. Tanabe, K. Sakai, “A linguistic post processing based on word occurrence probability”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 191–200.

    Google Scholar 

  18. G. Dimauro, S. Impedovo, G. Pirlo, “Uncertainty in the recognition process: some considerations on human variable behaviour”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 215–222.

    Google Scholar 

  19. C.Y. Suen, J. Guo, Z.C. Li, “Computer and human recognition of handprinted characters by parts”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 223–236.

    Google Scholar 

  20. J.C. Simon, O.Baret, “Cursive words recognition”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 241–260.

    Google Scholar 

  21. J. Camillerapp, G. Lorette, G. Menier, H. Oulhadj, J.C. Pettier, “Off-line and on-line methods for cursive handwriting recognition”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 273–288.

    Google Scholar 

  22. A. Zahour, B. Taconet, A. Faure, “Machine recognition of arabic cursive writing”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 289–296.

    Google Scholar 

  23. B. Taconet, A. Zahour, A. Faure, “A new global off-line recognition method for handwritten words”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 327–338.

    Google Scholar 

  24. L.R.B. Schomaker, H.-L. Teulings, “Stroke-versus character-based recognition of on-line, connected cursive script”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 313–326.

    Google Scholar 

  25. G. Dimauro, S. Impedovo, G. Pirlo, “Algorithms for Automatic Signature Verification”, in “Handbook of Character Recognition and Document Image Analysis”,H.Bunke,P.S.P.Wang(eds.),World Scientific Publ.1997,pp.605–621.

    Google Scholar 

  26. I. Yoshimura, M. Yoshimura, “On line signature verification incorporating the direction of pen movement — An experimental examination of the effectiveness”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 353–362.

    Google Scholar 

  27. G. Dimauro, S. Impedovo, G. Pirlo, “A stroke-oriented approach to signature verification”, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 371–384.

    Google Scholar 

  28. G.Pirlo, “Algorithms for Signature Verification”, in Fundamentals in Handwriting Recognition, S. Impedovo ed., Springer Verlag, Berlin, 1994, pp. 433–454.

    Google Scholar 

  29. G. Congedo, G. Dimauro, S. Impedovo, G. Pirlo, " A new methodology for the measurement of local stability in dynamical signatures”, Proc. of the Fourth International Workshop on Frontiers in Handwriting Recognition, Taipei, Taiwan, 1994, pp-135–144.

    Google Scholar 

  30. P. Brittan, M.C. Fairhurst, An approach to handwritten signature verification using a high performance parallel architecture, in “From Pixels to Features III — Frontiers in Handwriting Recognition”, S. Impedovo, J.C. Simon (eds.), Elsevier 1992, pp. 385–390.

    Google Scholar 

  31. S. Impedovo, H. Bunke, P.S.P. Wang (eds.), Automatic Bankcheck Processing, UPRAI, World Scientific Publ.,Singapore, 1997, Vol. 11,No.4 &5.

    Google Scholar 

  32. I.J. Evett, C.J. Wells, F.G. Keenan, T. Rose, R.J. Whitrow, “Using linguistic information to aid handwriting recognition”, in “From Pixels to Features III”, S.Impedovo and J.C.Simon eds., Elsevier 1992, pp. 339–348.

    Google Scholar 

  33. J.J.Hull, “Language-level syntactic and semantic constraints applied to visual word recognition”, in Fundamentals in Handwriting Recognition, S. Impedovo ed., Springer Verlag, Berlin, 1994, pp. 289–312.

    Google Scholar 

  34. C.Y.Suen, C. Nadal, T.A. Mai, R. Legault, L. Lam, “Recognition of totally unconstrained handwritten numerals based on the concept of multiple experts”, Proc. IWFHR-1, 1990, Montreal, Canada, pp. 131–143.

    Google Scholar 

  35. Ley Xu, Adam Krzyzak, Ching Y-Suen, “Methods of Combining Multiple Classifiers and Their Applications to Handwriting Recognition”, IEEE Transaction on Systems, Man and Cybern., Vol. 22, N. 3, 1992, pp. 418–435.

    Google Scholar 

  36. F. Kimura, Z. Chen and M. Shridhar, “An integrated character recognition algorithm for locating and recognizing zip codes”, Proc. U.S. Postal Service Advanced Technology Conf, Nov. 1990, pp. 605–619.

    Google Scholar 

  37. L. Lam and C.Y. Suen, “Increasing Experts for Majority Vote in OCR: Theoretical Considerations and Strategies”, Prof. IWFHR-4, Taipey, Taiwan, 1994, pp. 245–254.

    Google Scholar 

  38. Huang, C.Y. Suen, “An Optimal Method of Combining Multiple Classifiers for Unconstrained Handwritten Numeral Recognition”, Proc. of IWFHR-3, Buffalo, NY, 1993, pp. 11–20.

    Google Scholar 

  39. T.K.Ho, J.J. Hull, S.N. Srihari, “Combination of Structural Classifiers”, IAPR Workshop on Syntactic and Structural Pattern Recognition, Murray Hill, New Jersey, June 13–15,1990, pp. 123–136.

    Google Scholar 

  40. T.K. Ho, J.J. Hull, S.N. Srihari, “Decision Combination in Multiple Classifier Stsrems”, IEEE Trans. on Pattern Analysis Machine Intelligence, Vol. 16, No. 1, Jan. 1994, pp. 66–75.

    Google Scholar 

  41. N. Gorsky, “Practical Combination of Multiple Classifiers”, in Progress in Handwriting Recognition, A.C. Downton and S. Impedovo (eds.), World Scientific Publ., Singapore, 1997, pp.277–284.

    Google Scholar 

  42. E. Mandler, J. Schurmann, “Combining the classification results of independent classifiers based on the Dempster-Shafer theory of evidence”, Pattern Recognition Artificial Intelligence, 1988,pp.381–393.

    Google Scholar 

  43. Y.S.Huang, K.Liu, C.Y. Suen, “A Neural Network Approach for Multiclassifier recognition systems”, Proc. of IWFHR-4, 1994, pp.235–244.

    Google Scholar 

  44. F. Yamaoka, Y. Lu, A. Shaout and M. Shridhar, “Fuzzy integration of classification results in a Handwritten Digit Recognition System”, Prof. of IWFHR-4, Taipei, Taiwan, 1994, pp. 255–264.

    Google Scholar 

  45. T. Kawatani, H. Shimizu, “Complementary Classifier Design Using difference principal components”, Proc. of ICDAR '97, IEEE Press., 1997, pp. 875–880.

    Google Scholar 

  46. G. Dimauro, S. Impedovo, G. Pirlo and A. Salzo, “A New Methodology for the Evaluation of Combination Processes”, in Progress in Handwriting Recognition,A.C.Downton-S.Impedovo (eds.),WSP, Singapore, 1997.

    Google Scholar 

  47. J.Kim, K. Seo, K. Chung, “A Systematic Approach to classifier Selection on Combining Multiple Classifiers for Handwritten Digit Recognition”, Proc. of ICDAR '97, IEEE Press., 1997, pp. 459–462.

    Google Scholar 

  48. A.F.R. Rahman, M.C. Fairhurst, “Introducing New Multiple Expert Decision Combination Topologies: A Case Study using Recognition of Handwritten Characters”, Proc. of ICDAR '97, IEEE Press., 1997, pp. 886–891.

    Google Scholar 

  49. K.Konstantinides, J.Rasure, “The Khoros Application Development Environment for Image and Signal Processing”. IEEE Journal of Image Processing, 1993.

    Google Scholar 

  50. G. Dimauro, S. Impedovo, G. Pirlo, A. Salzo, “Bankcheck recognition systems: re-engineering the design process”. In Progress in Handwriting Recognition, A.C. Downton and S. Impedovo (eds.), World Scientific Publ., Singapore, 1997, pp. 419–425.

    Google Scholar 

  51. G. Dimauro, S. Impedovo, G. Pirlo, A. Salzo, “Automatic Bankcheck Processing: A New Engineered System”. In Automatic Bankcheck Processing, IJPRAI, S. Impedovo, P.S.P. Wang and H.Bunke (eds.), World Scientific Publ., Singapore, 1997, Vol. 11., No. 4, pp. 1–38.

    Google Scholar 

  52. G. Dimauro, S. Impedovo, G. Pirlo, A. Salzo, “A Multi-Expert Signature Verification System for Bankcheck Processing”. In Automatic Bankcheck Processing, IJPRAI, S. Impedovo, P.S.P. Wang and H.Bunke (eds.), World Scientific Publ., Singapore, 1997, Vol. I I., No. 5.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, Università degli Studi di Bari, via Amendola 173, 70126, Bari, Italy

    G. Dimauro, S. Impedovo, G. Pirlo & A. Salzo

Authors
  1. G. Dimauro
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  2. S. Impedovo
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  3. G. Pirlo
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  4. A. Salzo
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Nabeel A. Murshed Flávio Bortolozzi

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© 1997 Springer-Verlag Berlin Heidelberg

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Dimauro, G., Impedovo, S., Pirlo, G., Salzo, A. (1997). Handwriting recognition: State of the art and future trends. 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_1

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  • DOI: https://doi.org/10.1007/3-540-63791-5_1

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  • Print ISBN: 978-3-540-63791-2

  • Online ISBN: 978-3-540-69646-9

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