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Digital Document Processing pp 1–28Cite as

Reading Systems: An Introduction to Digital Document Processing

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Part of the Advances in Pattern Recognition book series (ACVPR)

Keywords

  • Text Image
  • Optical Character Recognition
  • Handwriting Recognition
  • High Recognition Rate
  • Reading System

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. Bailey, R.W. (1996). Human Performance Engineering: Designing High Quality Professional User Interfaces for Computer Products, Applications and Systems. Upper Saddle River, NJ: Prentice Hall.

    Google Scholar 

  2. Barrière, C. and Plamondon, R. (1998). Human identification of letters in mixed-script handwriting: an upper bound on recognition rates. IEEE Trans-actions on System, Man and Cybernetics (B), 28(1), pp. 78-82.

    CrossRef  Google Scholar 

  3. Brodmann, K. (1909). Vergleichende Lokalisationslehre der Grosshirnrinde in ihren Prinzipien dargestellt auf Grund des Zellenbaues. Leipzig: Barth.

    Google Scholar 

  4. Booth, J.R., Burman, D.D., Meyer, J.R., Gitelman, D.R., Parrish, T.B., and Mesulam, M.M. (2002). Functional anatomy of intra- and cross-modal lexical tasks. Neuroimage, 16(1), pp. 7-22.

    CrossRef  Google Scholar 

  5. Coates, A.L., Baird, H.S., and Fateman, R.J. (2001). Pessimal Print: A Re-verse Turing Test. Proceedings of the 6th International Conference on Doc-ument Analysis and Recognition, Seattle, WA, USA, September 10-13. Los Alamitos: IEEE Computer Society, pp. 1154-1158. ISBN 0-7695-1263-1.

    Google Scholar 

  6. Cohen, L., Lehericy, S., Chochon, F., Lemer, C., Rivaud, S., and Dehaene, S. (2002). Language-specific tuning of visual cortex? Functional properties of the Visual Word Form Area. Brain, 125(5), pp. 1054-1069.

    CrossRef  Google Scholar 

  7. Dehaene, S., Cohen, L., Sigman, M., and Vinckier, F. (2005). The neural code for written words: a proposal. Trends in Cognitive Sciences, 9(7), pp. 335-341.

    CrossRef  Google Scholar 

  8. Ezaki, N., Bulacu, M., and Schomaker, L. (2004). Text Detection from Natural Scene Images: Towards a System for Visually Impaired Persons. Proceedings of ICPR 2004. Cambridge, UK: IEEE Computer Society, pp. 683-686. ISBN: 0-7695-2128-2.

    Google Scholar 

  9. Franke, K. and Köppen, M. (1999). Towards an universal approach to back-ground removal in images of bank checks. In: S.-W. Lee (Ed.). Advances in Handwriting Recognition. Singapore: World Scientific, pp. 91-100.

    Google Scholar 

  10. Georges Jean (1997). Writing: The Story of Alphabets and Scripts. London: Thames and Hudson Ltd.

    Google Scholar 

  11. Gigerenzer, G., Todd, P.M., et al. (2000). Simple Heuristics That Make Us Smart. (Evolution and Cognition Series). Oxford: Oxford University Press.

    Google Scholar 

  12. Goutte, C. (1997). Note on free lunches and cross-validation. Neural Com-putation, 9, pp. 1211-1215.

    CrossRef  Google Scholar 

  13. Mansfield, J.S., Legge, G.E., and Bane, M.C. (1996). Psychophysics of read-ing. XV. Font effects in normal and low vision. Investigative Ophthalmology & Visual Science, 37, 1492-1501.

    Google Scholar 

  14. Maarse, F.J. and Thomassen, A.J.W.M. (1983). Produced and perceived writing slant: difference between up and down strokes. Acta Psychologica, 54, pp. 131-147.

    CrossRef  Google Scholar 

  15. McCusker, L.X., Gough, P.B., and Bias, R.G. (1981). Word recognition inside out and outside in. Journal of Experimental Psychology: Human Perception and Performance, 7(3), pp. 538-551.

    CrossRef  Google Scholar 

  16. Nagy, G., Nartker, T.A., and Rice, S.V. (2000). Optical Character Recog-nition: An Illustrated Guide to the Frontier. Invited paper in Proceedings of SPIE: Document Recognition and Retrieval VII, Volume 3967, San Jose, California, 2000.

    Google Scholar 

  17. Pammer, K., Hansen, P.C., Kringelbach, M.L., Holliday, I.E., Barnes, G., Hillebrand, A., Singh, K.D., and Cornelissen, P.L. (2004). Visual word recog-nition: the first half second. Neuroimage, 22(4), pp. 1819-1825.

    CrossRef  Google Scholar 

  18. Petkov, N. and Kruizinga, P. (1997). Computational models of visual neurons specialised in the detection of periodic and aperiodic oriented visual stimuli: bar and grating cells, Biological Cybernetics, 76(2), pp. 83-96.

    CrossRef  MATH  Google Scholar 

  19. Plamondon, R., Lopresti, D.P., Schomaker, L.R.B., and Srihari, R. (1999). On-line handwriting recognition. In: J.G. Webster (Ed.). Wiley Encyclopedia of Electrical & Electronics Engineering. New York: Wiley, pp. 123-146.

    Google Scholar 

  20. Plaut, D.C. and Shallice, T. (1994). Word reading in damaged connec-tionist networks: computational and neuropsychological implications. In: R. Mammone (Ed.). Artificial Neural Networks for Speech and Vision. London: Chapman & Hall, pp. 294-323.

    Google Scholar 

  21. Rawlinson, G. (1999). “Reibadailty” [Letter to the Editor]. New Scientist, 162(2188), p. 55.

    Google Scholar 

  22. Schomaker, L.R.B. (2004). Anticipation in Cybernetic Systems: A Case Against Antirepresentationalism. The Netherlands: IEEE SMC Delft.

    Google Scholar 

  23. Schomaker, L. and Segers, E. (1999). Finding features used in the human reading of cursive handwriting. International Journal on Document Analysis and Recognition, 2, pp. 13-18.

    CrossRef  Google Scholar 

  24. Simon, H. (1957). Models of Man. New York: Wiley.

    MATH  Google Scholar 

  25. Simon, J.C. and Baret, O. (1990). Handwriting Recognition as an Applica-tion of Regularities and Singularities in Line Pictures. Proceedings of the International Workshop on Frontiers in Handwriting Recognition (IWFHR). Montreal: CENPARMI Concordia, pp. 23-37.

    Google Scholar 

  26. Talairach, J. and Tournoux, P. (1988). Co-Planar Stereotaxic Atlas of the Human Brain. New York: Thieme Medical.

    Google Scholar 

  27. Tax, D.M.J. and Duin, R.P.W.(2002). Uniform object generation for optimizing one-class classifiers. Journal of Machine Learning Research, 2, pp. 155-173.

    CrossRef  MATH  Google Scholar 

  28. Tistarelli, M. and Sandini, G. (1993). On the advantages of polar and log-polar mapping for direct estimation of time-to-impact from optical flow. IEEE Transactions on Pattern Analysis and Machine Intelligence archive, 15 (4), pp. 401-410.

    CrossRef  Google Scholar 

  29. Truccolo, W., Eden, U.T, Fellows, M.R., Donoghue, J.P., and Brown, E.N. (2005). A point-process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects. Journal of Neurophysiology, 93, pp. 1074-1089.

    CrossRef  Google Scholar 

  30. Turkeltaub, P.E., Weisberg, J., Flowers, D.L., Basu, D., and Eden, G.F. (2004). The neurobiological basis of reading: a special case of skill acqui-sition. In: Rice and Catts (Eds.). Developmental Language Disorders: from Phenotypes to Etiologies. Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  31. Veeramachaneni, A. and Nagy, G. (2005). Style context with second-order statistics. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27 (1), pp. 14-22.

    CrossRef  Google Scholar 

  32. Whitney, C. (2001). An explanation of the length effect for rotated words. In: E. Altmann, A. Cleermans, C. Schunn, and W. Gray (Eds.). Proceedings of the Fourth International Conference on Cognitive Modeling. Mahwah, NJ: Lawrence Erlbaum Associates, pp. 217-221.

    Google Scholar 

  33. Wilson, F.A.W., Scalaidhe, S.P.O., and Goldmanrakic, P.S. (1993). Dissoci-ation of object and spatial processing domains in primate prefrontal cortex. Science, 260(5116), pp. 1955-1958.

    CrossRef  Google Scholar 

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Author information

Authors and Affiliations

  1. Artificial Intelligence Department, Groningen University, The Netherlands

    Lambert Schomaker

Authors
  1. Lambert Schomaker
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Editor information

Editors and Affiliations

  1. Indian Statistical Institute, Kolkata, India

    Bidyut B. Chaudhuri PhD

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© 2007 Springer-Verlag London Limited

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Schomaker, L. (2007). Reading Systems: An Introduction to Digital Document Processing. In: Chaudhuri, B.B. (eds) Digital Document Processing. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-84628-726-8_1

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  • DOI: https://doi.org/10.1007/978-1-84628-726-8_1

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-501-1

  • Online ISBN: 978-1-84628-726-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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