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Parallel OCR in P3L: a case study

  • M. Danelutto
  • S. Pelagatti
  • R. Ravazzolo
  • A. Riaudo
Posters
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1067)

Keywords

Optical Character Recognition Input Stream Stage Pipeline High Level Programming Language Document Image Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    B. Bacci, M. Danelutto, S. Orlando, S. Pelagatti, and M. Vanneschi. P3L: A Structured High level programming language and its structured support. Concurrency Practice and Experience, 7(3):225–255, May 1995.Google Scholar
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    M. I. Cole. A “Skeletal” Approach to Exploitation of Parallelism. In C. R. Jesshope and K. D. Reinartz, editors, CONPAR 88, British Computer Society Workshop Series. Cambridge University Press, 1989.Google Scholar
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    J. Darlington, A. J. Field, P.G. Harrison, P. H. J. Kelly, D. W. N. Sharp, Q. Wu, and R. L. While. Parallel Programming Using Skeleton Functions. In M. Reeve A. Bode and G. Wolf, editors, PARLE'93 Parallel Architectures and Langauges Europe. Springer Verlag, June 1993. LNCS No. 694.Google Scholar
  4. 4.
    G. Nagy. Document analysis and optical character recognition. In Fifth International Conference on Image Analysis and Processing, pages 511–529, Positano, Italy, September 1989. World Scientific.Google Scholar
  5. 5.
    Lawrence O'Gorman and Rangachar Kasturi. Document Image Analysis: a tutorial. Technical Report TR-93-126, The Pennsylvania State University, Pennsylvania, 1993.Google Scholar
  6. 6.
    S. Pelagatti. A methodology for the development and the support of massively parallel programs. Technical Report TD-11/93, Dept. of Computer Science-Pisa, 1993. PhD Thesis.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • M. Danelutto
    • 1
  • S. Pelagatti
    • 1
  • R. Ravazzolo
    • 1
  • A. Riaudo
    • 1
  1. 1.Dipartimento di InformaticaUniversità di PisaPisaItaly

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