AdOtsu: An adaptive and parameterless generalization of Otsu's method for document image binarization

Pattern Recognition

Volumn 45, Issue 6, 2012, Pages 2419-2431

  Farrahi Moghaddam, Reza ^a   Cheriet, Mohamed ^a  

^a Synchromedia Laboratory   (Canada)

Author keywords

Adaptive methods; Binarization; Document image processing

Indexed keywords

ADAPTIVE BINARIZATION; ADAPTIVE METHODS; ADAPTIVENESS; BINARIZATION; DATA SETS; DOCUMENT IMAGE PROCESSING; DOCUMENT IMAGES; GRID-BASED; MULTISCALE FRAMEWORK; OTSU'S METHOD;

PATTERN RECOGNITION; SOFTWARE ENGINEERING;

IMAGE PROCESSING;

EID: 84857037829     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2011.12.013     Document Type: Article

References (45)

1. J. Bernsen Dynamic thresholding of grey-level image Eighth International Conference on Pattern Recognition 1986
2. D. Bradley, and G. Roth Adaptive thresholding using the integral image Journal of Graphics, GPU, and Game Tools 12 2 2007 13 21
3. Y. Chen, and G. Leedham Decompose algorithm for thresholding degraded historical document images IEE Proceedings Vision, Image and Signal Processing 152 6 2005 702 714 (Pubitemid 41812253)
4. M. Cheriet, J.N. Said, and C.Y. Suen A recursive thresholding technique for image segmentation IEEE Transactions on Image Processing 7 6 1998 918 921 (Pubitemid 128745406)
5. M. Cheriet Extraction of handwritten data from noisy gray-level images using a multiscale approach International Journal of Pattern Recognition and Artificial Intelligence 13 5 1999 665 684
6. H.-S. Don A noise attribute thresholding method for document image binarization International Journal on Document Analysis and Recognition 4 2 2001 131 138
7. J. Fabrizio, B. Marcotegui, and M. Cord Text segmentation in natural scenes using toggle-mapping ICIP'09 2009 2373 2376
8. R. Farrahi Moghaddam, and M. Cheriet EFDM: restoration of single-sided low-quality document images ICFHR'08, Montreal, Quebec, Canada, August 1921 2008 204 209
9. R. Farrahi Moghaddam, and M. Cheriet RSLDI: restoration of single-sided low-quality document images Pattern Recognition 42 12 2009 3355 3364
10. R. Farrahi Moghaddam, and M. Cheriet A multi-scale framework for adaptive binarization of degraded document images Pattern Recognition 43 6 2010 2186 2198
11. R. Farrahi Moghaddam, and M. Cheriet A variational approach to degraded document enhancement IEEE Transactions on Pattern Analysis and Machine Intelligence 32 8 2010 1347 1361
12. M.-L. Feng, and Y.-P. Tan Contrast adaptive binarization of low quality document images IEICE Electronics Express 1 16 2004 501 506
13. B. Gatos, K. Ntirogiannis, and I. Pratikakis ICDAR 2009 document image binarization contest (DIBCO 2009) ICDAR'09 2009 1375 1382
14. B. Gatos, K. Ntirogiannis, and I. Pratikakis Dibco 2009: document image binarization contest International Journal on Document Analysis and Recognition 2010 1 10
15. B. Gatos, I. Pratikakis, and S.J. Perantonis Adaptive degraded document image binarization Pattern Recognition 39 3 2006 317 327 (Pubitemid 41808613)
16. B. Gatos, I. Pratikakis, and S.J. Perantonis Improved document image binarization by using a combination of multiple binarization techniques and adapted edge information ICPR'08 2008 1 4
17. B. Gatos, I. Pratikakis, and S.J. Perantonis An adaptive binarization technique for low quality historical documents Lecture Notes in Computer Science: Document Analysis Systems VI (DAS'04) vol. 3163 2004 Springer 102 113
18. Google, Book Search Dataset, Version V edition, 2007.
19. Y.S. Halabi, Z. SASA, F. Hamdan, and K.H. Yousef Modeling adaptive degraded document image binarization and optical character system European Journal of Scientific Research 28 2009 14 32
20. R. Hedjam, R. Farrahi Moghaddam, and M. Cheriet A spatially adaptive statistical method for the binarization of historical manuscripts and degraded document images Pattern Recognition 44 9 2011 2184 2196
21. R. Hedjam, R. Farrahi Moghaddam, and M. Cheriet Markovian clustering for the non-local means image denoising ICIP'09, Cairo, Egypt, November 710 2009 3877 3880
22. R.C. Holte Very simple classification rules perform well on most commonly used datasets Machine Learning 11 1 1993 63 90
23. S.-W. Lee, and Y.J. Kim Direct extraction of topographic features for gray scale character recognition IEEE Transactions on Pattern Analysis and Machine Intelligence 17 7 1995 724 728 10.1109/34.391416
24. M. Lettner, and R. Sablatnig Higher order mrf for foregroundbackground separation in multi-spectral images of historical manuscripts DAS'10 2010 ACM Boston, MA 317 324
25. R.D. Lins, J.M.M. da Silva, and F.M.J. Martins Detailing a quantitative method for assessing algorithms to remove back-to-front interference in documents Journal of Universal Computer Science 14 2 2008 266 283
26. S. Lu, B. Su, and C. Tan Document image binarization using background estimation and stroke edges International Journal on Document Analysis and Recognition 13 4 2010 303 314
27. S.J. Lu, and C.L. Tan Binarization of badly illuminated document images through shading estimation and compensation C.L. Tan, Ninth International Conference on Document Analysis and Recognition 2007, ICDAR 2007 vol. 1 2007 312 316
28. R. Milewski, and V. Govindaraju Binarization and cleanup of handwritten text from carbon copy medical form images Pattern Recognition 41 4 2008 1308 1315 (Pubitemid 350218148)
29. W. Niblack An Introduction to Digital Image Processing 1985 Strandberg Publishing Company Birkeroed, Denmark, Denmark
30. N. Otsu A threshold selection method from gray-level histograms IEEE Transactions on Systems, Man and Cybernetics 9 1979 62 66
31. Y.-T. Pai, Y.-F. Chang, and S.-J. Ruan Adaptive thresholding algorithm: efficient computation technique based on intelligent block detection for degraded document images Pattern Recognition 43 9 2010 3177 3187
32. B. Perret, S. Lefèvre, C. Collet, E. Slezak, From hyperconnections to hypercomponent tree: application to document image binarization, in: WADGMM'10, Istanbul, Turkey, August 22, 2010.
33. D. Rivest-Hénault, R. Farrahi Moghaddam, M. Cheriet, A local linear level set method for the binarization of degraded historical document images, International Journal on Document Analysis and Recognition, Online First. doi: 10.1007/s10032-011-0157-5, 2011.
34. J. Sauvola, and M. Pietikainen Adaptive document image binarization Pattern Recognition 33 2 2000 225 236 (Pubitemid 32262190)
35. M. Sezgin, and B. Sankur Survey over image thresholding techniques and quantitative performance evaluation Journal of Electronic Imaging 13 1 2004 146 168
36. F. Shafait, D. Keysers, T.M. Breuel, Efficient implementation of local adaptive thresholding techniques using integral images, in: Document Recognition and Retrieval XV, San Jose, CA, January 2008.
37. M. Shokri, and H.R. Tizhoosh Q(λ)-based image thresholding CVR'04 2004 504 508
38. B. Su, S. Lu, C.L. Tan, Binarization of historical document images using the local maximum and minimum, in: DAS'10, Boston, Massachusetts, June 911, 2010, pp. 159166.
39. B. Su, S. Lu, and C.L. Tan A self-training learning document binarization framework ICPR'10 2010 3187 3190
40. S. Tabbone, and L. Wendling Multi-scale binarization of images Pattern Recognition Letters 24 13 2003 403 411 (Pubitemid 36087484)
41. O.D. Trier, and A.K. Jain Goal-directed evaluation of binarization methods IEEE Transactions on Pattern Analysis and Machine Intelligence 17 12 1995 1191 1201
42. S. van Dongen, Graph clustering by flow simulation, Ph.D. Thesis, University of Utrecht, May 2000.
43. C.J. van Rijsbergen Information Retrieval 2nd ed. 1979 Butterworths London
44. X. Wang, X. Ding, and C. Liu Gray-scale-image-based character recognition algorithm for low-quality and low-resolution images Proceedings of SPIE vol. 4307 2000 SPIE San Jose, CA, USA 315 322
45. X. Ye, M. Cheriet, and C.Y. Suen Stroke-model-based character extraction from gray-level document images IEEE Transactions on Image Processing 10 8 2001 1152 1161 (Pubitemid 32736638)