A multi-scale framework for adaptive binarization of degraded document images

Pattern Recognition

Volumn 43, Issue 6, 2010, Pages 2186-2198

  Farrahi Moghaddam, Reza ^a   Cheriet, Mohamed ^a  

^a Synchromedia Laboratory   (Canada)

Author keywords

Adaptive methods; Binarization; Document image processing; Multi scale framework

Indexed keywords

ADAPTIVE BINARIZATION; ADAPTIVE METHODS; ADAPTIVE THRESHOLDS; BINARIZATIONS; DATA SETS; DEGRADED DOCUMENT IMAGES; DIFFERENT SCALE; DOCUMENT IMAGE PROCESSING; DOCUMENT IMAGES; GRID-BASED; HISTORICAL DOCUMENTS; MULTISCALES; OBJECTIVE EVALUATION; OTSU'S METHOD; SPATIAL DOMAINS; WEAK CONNECTION;

IMAGE PROCESSING; IMAGE RETRIEVAL; IMAGING SYSTEMS; RESTORATION;

DIGITAL IMAGE STORAGE;

EID: 76749136229     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2009.12.024     Document Type: Article

References (36)

1. Juma Al Majid center for Culture and Heritage, 55106, Dubai, UAE.
2. Abutaleb A.S. Automatic thresholding of gray-level pictures using two-dimensional entropy. Computer Vision, Graphics, and Image Processing 47 1 (1989) 22-32
3. Berkner K., Gormish M.J., and Schwartz E.L. Multiscale sharpening and smoothing in besov spaces with applications to image enhancement. Applied and Computational Harmonic Analysis 11 1 (2001) 2-31
4. Bradley D., and Roth G. Adaptive thresholding using the integral image. Journal of Graphics, GPU, & Game Tools 12 2 (2007) 13-21
5. M. Cheriet, Shock filters for character image enhancement and peeling, in: ICDAR'03, 2003, pp. 1247-1251.
6. Cheriet M., Said J.N., and Suen C.Y. A recursive thresholding technique for image segmentation. IEEE Transactions on Image Processing 7 6 (1998) 918-921
7. Cheriet M. 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
8. Monte da Silva J.M., Lins R.D., Junqueira Martins F.M., and Wachenchauzer R. A new and efficient algorithm to binarize document images removing back-to-front interference. Journal of Universal Computer Science 14 2 (2008) 299-313
9. Don H.-S. A noise attribute thresholding method for document image binarization. International Journal on Document Analysis and Recognition 4 2 (2001) 131-138
10. F. Drira, Towards restoring historic documents degraded over time, in: DIAL'06, 2006, p. 8.
11. F. Drira, Contribution à la restauration des images de documents anciens, Ph.D. Thesis, École Doctorale Informatique et Information pour la Société (EDIIS), LIRIS, UMR 5205 CNRS, December 2007.
12. R. Farrahi Moghaddam, M. Cheriet, Application of multi-level classifiers and clustering for automatic word-spotting in historical document images, in: ICDAR'09, Barcelona, Spain, July 26-29, 2009, pp. 511-515.
13. Farrahi Moghaddam R., and Cheriet M. Low quality document image modeling and enhancement. International Journal of Document Analysis and Recognition 11 4 (2009) 183-201
14. Farrahi Moghaddam R., and Cheriet M. RSLDI: restoration of single-sided low-quality document images. Pattern Recognition 42 (2009) 3355-3364
15. R. Farrahi Moghaddam, D. Rivest-Hénault, I. Bar-Yosef, M. Cheriet, A unified framework based on the level set approach for segmentation of unconstrained double-sided document images suffering from bleed-through, in: ICDAR'09, Barcelona, Spain, July 26-29, 2009, pp. 441-445.
16. R. Farrahi Moghaddam, D. Rivest-Hénault, M. Cheriet, Restoration and segmentation of highly degraded characters using a shape-independent level set approach and multi-level classifiers, in: ICDAR'09, Barcelona, Spain, July 26-29, 2009, pp. 828-832.
17. E. Gabarra, A. Tabbone, Combining global and local threshold to binarize document of images, in: Lecture Notes in Computer Science, vol. 3523, Springer, Berlin, 2005, pp. 371-378.
18. B. Gatos, K. Ntirogiannis, I. Pratikakis, ICDAR 2009 document image binarization contest (DIBCO 2009), in: ICDAR'09, 2009, pp. 1375-1382.
19. B. Gatos, I. Pratikakis, S.J. Perantonis, An adaptive binarization technique for low quality historical documents, in: Lecture Notes in Computer Science: Document Analysis Systems VI, vol. 3163, Springer, Berlin, 2004, pp. 102-113.
20. Google, Book Search Dataset, Version v edition, 2007.
21. Kerr M., and Burrage K. New multivalue methods for differential algebraic equations. Numerical Algorithms 31 1 (2002) 193-213
22. K. Nakayama, H. Hasegawa, C.A. Hernandez, Handwritten alphabet and digit character recognition using skeleton pattern mapping with structural constraints, in: Proceedings of the ICANN'93, Amsterdam, September 1993, p. 941.
23. Otsu N. A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man and Cybernetics 9 (1979) 62-66
24. N. Papamarkos, A technique for fuzzy document binarization, in: Proceedings of the 2001 ACM Symposium on Document Engineering, Atlanta, Georgia, USA, ACM, 2001, pp. 152-156.
25. Rath T., and Manmatha R. Word spotting for historical documents. International Journal of Document Analysis and Recognition 9 2 (2007) 139-152
26. Recent advances in applications to visual cultural heritage, IEEE Signal Processing Magazine 25(4) (2008).
27. J.L. Rothfeder, S. Feng, T.M. Rath, Using corner feature correspondences to rank word images by similarity, in: Workshop on Document Image Analysis and Retrieval, Madison, June 20, 2003.
28. Sauvola J., and Pietikinen M. Adaptive document image binarization. Pattern Recognition 33 2 (2000) 225-236
29. Sezgin M., and Sankur B. Survey over image thresholding techniques and quantitative performance evaluation. Journal of Electronic Imaging 13 1 (2004) 146-168
30. 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, USA, January 2008.
31. Sharma G. Show-through cancellation in scans of duplex printed documents. IEEE Transactions on Image Processing 10 5 (2001) 736-754
32. Tabbone S., and Wendling L. Multi-scale binarization of images. Pattern Recognition Letters 24 1-3 (2003) 403-411
33. Tonazzini A., Salerno E., and Bedini L. Fast correction of bleed-through distortion in grayscale documents by a blind source separation technique. International Journal of Document Analysis and Recognition 10 1 (2007) 17-25
34. Trier O.D., and Jain A.K. Goal-directed evaluation of binarization methods. IEEE Transactions on Pattern Analysis and Machine Intelligence 17 12 (1995) 1191-1201
35. Ye X., Cheriet M., and Suen C.Y. Stroke-model-based character extraction from gray-level document images. IEEE Transactions on Image Processing 10 8 (2001) 1152-1161
36. X. Zhu, Shape recognition based on skeleton and support vector machines, in: Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, vol. 2, 2007, pp. 1035-1043.