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Adaptive document image binarization
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Research works printed but not linked: 23
- J. Sauvola, M. Pietikäinen, Page segmentation and classification using fast feature extraction and connectivity analysis, International Conference on Document Analysis and Recognition, ICDAR '95, Montreal, Canada, 1995, pp. 1127–1131. · DOI
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- T. Pavlidis, Threshold selection using second derivatives of the gray scale image, International Conference on Document Analysis and Recognition, ICDAR '93, Japan, 1993, pp. 274–277. · DOI
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- Perez, 1987, An iterative thresholding algorithm for image segmentation, IEEE Trans. Pattern Anal. Mach. Intell., PAMI-9, 742, 10.1109/TPAMI.1987.4767981 · DOI
- J.R. Parker, C. Jennings, A.G. Salkauskas, Thresholding using an illumination model, ICDAR '93, Japan, 1993, pp. 270–273. · DOI
- V.A. Shapiro, P.K. Veleva, V.S. Sgurev, An adaptive method for image thresholding, Proceedings of the 11th KPR, 1992, pp. 696–699. · DOI
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- Chen, 1994, A fast two-dimensional entropic thresholding algorithm, Pattern Recognition, 27, 885, 10.1016/0031-3203(94)90154-6 · DOI
- Yanowitz, 1989, A new method for image segmentation, CVGIP, 46, 82
- S. Nieminen, J. Sauvola, T. Seppänen, M. Pietikäinen, A benchmarking system for document analysis algorithms, Proc. SPIE 3305 Document Recognition V 3305 (1998) 100–111.
- S.T. Welstead, Neural Network and Fuzzy Logic Applications in C/C++, Wiley, New York, 1994, p. 494.
- W. Niblack, An Introduction to Image Processing, Prentice-Hall, Englewood Cliffs, NJ, 1986, pp. 115–116.
- Trier, 1995, Goal-directed evaluation of binarization methods, IEEE Trans. Pattern Anal. Mach. Intell., 17, 1191, 10.1109/34.476511 · DOI
- L. Eikvil, T. Taxt, K. Moen, A fast adaptive method for binarization of document images, International Conference on Document Analysis and Recognition, ICDAR '91, France, 1991, pp. 435–443.
- J. Bernsen, Dynamic thresholding of grey-level images, Proceedings of the Eighth ICPR, 1986, pp. 1251–1255.
- Parker, 1991, Gray level thresholding on badly illuminated images, IEEE Trans. Pattern Anal. Mach. Intell., 13, 813, 10.1109/34.85672 · DOI
- J. Sauvola, S. Haapakoski, H. Kauniskangas, T. Seppänen, M. Pietikäinen, D. Doermann, A distributed management system for testing document image analysis algorithms, 4th ICDAR, Germany, 1997, pp. 989–995. · DOI
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Metadata
- Authors
- Sauvola, J., & Pietikäinen, M.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2000-02
- Volume
- 33
- Issue
- 2
- Pages
- 225-236
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2128060444
- Cited by
- 2,339
- References
- 0
- FWCI
- 5.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.