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Antonacopoulos, A; Casado Castilla, C
Publisher: IEEE Computer Society
Languages: English
Types: Unknown
Subjects: Z004, other, ZA, QA75
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] M. Cannon, J. Hochberg and P. Kelly. “QUARC: A Remarkably Effective Method for Increasing the OCR Accuracy of Degraded Typewritten Documents”, Proceedings of the 1999 Symposium on Document Image Understanding Technology (SDIUT'99), Annapolis, MD, May 1999, pp. 154-158.
    • [2] W. Niblack, An Introduction to Digital Image Processing. Prentice-Hall, London, 1986.
    • [3] J. Sauvola and M. Pietikainen, “Adaptive document image binarization”, Pattern Recognition, Vol. 33, 2000, pp. 225-236.
    • [4] B. Gatos, I. Pratikakis, and S.J. Perantonis, "An Adaptive Binarization Technique for Low Quality Historical Documents", Proceedings of the 6th IAPR Workshop on Document Analysis System (DAS 2004), Florence, Italy, September 8-10, 2004, Springer LNCS (3163), pp 102-113.
    • [5] A. Antonacopoulos and D. Karatzas, “Semantics-Based Content Extraction in Typewritten Historical Documents”, Proceedings of the 8th International Conference on Document Analysis and Recognition (ICDAR2005), Seoul, South Korea, August/September 2005, ISBN: 0-7695- 2420-6, pp. 48-53.
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