Abstract
DIBCO 2009 is the first International Document Image Binarization Contest organized in the context of ICDAR 2009 conference. The general objective of the contest is to identify current advances in document image binarization using established evaluation performance measures. This paper describes the contest details including the evaluation measures used as well as the performance of the 43 submitted methods along with a short description of the top five algorithms.
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Ntirogiannis, K., Gatos, B., Pratikakis, I.: An objective evaluation methodology for document image binarization techniques. Proceedings of 8th International Workshop on Document Analysis Systems (DAS’08), Nara, Japan, September, pp. 217–224 (2008)
Gatos, B., Ntirogiannis, K., Pratikakis, I.: ICDAR 2009 document image binarization contest (DIBCO 2009). Proceedings of 10th International Conference on Document Analysis and Recognition (ICDAR’09), Barcelona, Spain, pp. 1375–1382 (July 2009)
Otsu N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62–66 (1979)
Sauvola J., Pietikainen M.: Adaptive document image binarization. Pattern Recognit 33, 225–236 (2000)
Jean S.: Toggle mappings. In: Simon, J.C. (eds) From Pixels to Features, North-Holland, Amsterdam (1989)
Fabrizio, J., Marcotegui, B.: Text Segmentation in Natural Scenes using Toggle-mapping. IEEE International Conference on Image Processing (2009), Cairo, Egypt, Nov. 2009
Farrahi Moghaddam R., Cheriet M.: RSLDI: restoration of single-sided low-quality document images. Pattern Recognit 42, 3355–3364 (2009)
Farrahi Moghaddam, R., Rivest-Henault, D., Cheriet, M.: Restoration and Segmentation of Highly Degraded Characters Using a Shape-Independent Level Set Approach and Multi-level Classifiers. ICDAR’09, Barcelona, Spain, 26–29 July, pp. 828–832
Farrahi Moghaddam M., Cheriet R.: A multi-scale framework for adaptive binarization of degraded document images. Pattern Recognit 43(6), 2186–2198 (2010)
Farrahi Moghaddam, R., Rivest-Henault, D., Cheriet, M.: A unified framework based on the level set approach for segmentation of unconstrained double-sided document images suffering from bleed-through. Proceedings of 10th International Conference on Document Analysis and Recognition (ICDAR’09), Barcelona, Spain, 26–29 July, pp. 441–445
Trussell, H.J.: Comments on “Picture thresholding using an iterative selection method”. IEEE Trans. Syst. Man Cybern. SMC-9, No. 5, 311 (May 1979)
Niblack W.: An Introduction to Digital Image Processing, pages 115–116. Englewood Cliffs, Prentice Hall, NJ (1986)
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Gatos, B., Ntirogiannis, K. & Pratikakis, I. DIBCO 2009: document image binarization contest. IJDAR 14, 35–44 (2011). https://doi.org/10.1007/s10032-010-0115-7
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DOI: https://doi.org/10.1007/s10032-010-0115-7