An adaptive layer-based local binarization technique for degraded documents

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 24, Issue 2, 2010, Pages 245-279

  Makridis, Michael ^a   Papamarkos, N ^a  

^a DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

Author keywords

Background estimation; Binarization; Classification; Degraded documents

Indexed keywords

ADAPTIVE BINARIZATION; BACKGROUND ESTIMATION; BINARIZATIONS; DEGRADED DOCUMENT IMAGES; DEGRADED DOCUMENTS; GRAY SCALE; LOCAL CONTRAST; SPATIAL INFORMATIONS;

ESTIMATION;

INFORMATION RETRIEVAL SYSTEMS;

EID: 77951969571     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001410007889     Document Type: Article

References (25)

1. ABBYY Finereader OCR (www.afinereader.com).
2. A. Atsalakis, N. Papamarkos and I. Andreadis, On estimation of the number of image principal colors and color reduction through self-organized neural networks, Int. J. Imag. Syst. Technol. 12 (2002) 117-127.
3. E. Badekas, N. Nikolaou and N. Papamarkos, Text binarization in color documents, Int. J. Imag. Syst. Technol. 16 (2006) 262-274.
4. E. Badekas and N. Papamarkos, Optimal combination of document binarization techniques using a self-organizing map neural network, Engin. Appl. Artif. Intell. 20 (2007) 11-24.
5. E. Badekas and N. Papamarkos, Document binarization using Kohonen SOM, IET Imag. Process. 1 (2007) 67-84.
6. J. Bernsen, Dynamic thresholding of grey-level images, Proc. Eighth Int. Conf. Patt. Recogn. (Paris, 1986), pp. 1251-1255.
7. A. D. Brink, Thresholding of digital images using two-dimensional entropies, Patt. Recogn. 25 (1992) 803-808.
8. B. Gatos, I. E. Pratikakis and S. J. Perantonis, Adaptive degraded document image binarization, Patt. Recogn. 39 (2006) 317-327.
9. J. N. Kapur, P. K. Sahoo and A. K. Wong, A new method for graylevel picture thresholding using the entropy of the histogram, Comput. Vis. Graphi. Imag. Process. 29 (1985) 273-285.
10. E. Kavallieratou, An objective way to evaluate and compare binarization algorithms, SAC 2008, pp. 397-401.
11. I.-K. Kim, D.-W. Jung and R.-H. Park, Document image binarization based on topographic analysis using a water flow model, Patt. Recogn. 35 (2002) 265-277.
12. J. Kittler and J. Illingworth, On threshold selection using clustering criteria, IEEE Trans. Syst. Man Cybern. (1985) 652-655.
13. W. Niblack, An Introduction to Digital Image Processing (Prentice Hall, Englewood Cliffs, 1986), pp. 115-116.
14. H.-H. Oh, K.-T. Lim and S.-I. Chien, An improved binarization algorithm based on a water flowmodel for document image with inhomogeneous backgrounds, Patt. Recogn. 38 (2005) 2612-2625.
15. N. Otsu, A threshold selection method from gray-level histograms, IEEE Trans. Syst. Man Cybern. 9 (1979) 62-66.
16. N. Papamarkos and B. Gatos, A new approach for multithreshold selection, Comput. Vis. Graph. Imag. Process. 56 (1994) 357-370.
17. I. T. Phillips, User's Reference manual for the UW English/Technical Document Image Database I. UW-I English/Technical Document Image Database, University of Washington, (1993).
18. S. S. Reddi, S. F. Rudin and H. R. Keshavan, An optimal multiple threshold scheme for image segmentation, IEEE Trans. Syst. Man Cybern. 14 (1984) 661-665.
19. A. Rosenfeld and A. C. Kak, Digital Picture Processing, 2nd edition (Academic Press, New York, 1982).
20. L. Sauvola and M. Pietikainen, Adaptive document image binarization, Patt. Recogn. 33 (2000) 225-236.
21. O. D. Trier and A. K. Jain, Goal-directed evaluation of binarization methods, IEEE Trans. Patt. Anal. Mach. Intell. 17 (1995) 1191-1201.
22. O. D. Trier and T. Taxt, Improvement of integrated function algorithm' for binarization of document images, Patt. Recogn. Lett. 16 (1995) 277-283.
23. V. Vonikakis, I. Andreadis and N. Papamarkos, Robust document binarization with OFF center-surround cells, Patt. Anal. Appl. to appear.
24. H. Yan, Unified formulation of a class of image thresholding techniques, Patt. Recogn. 29 (1996) 2025-2032.
25. Y. Yang and H. Yan, An adaptive logical method for binarisation of degraded document images, Patt. Recogn. 33 (2000) 787-807.