Adaptive binarization of unconstrained hand-held camera-captured document images

Journal of Universal Computer Science

Volumn 15, Issue 18, 2009, Pages 3343-3363

  Bukhari, Syed Saqib ^a   Shafait, Faisal ^b   Breuel, Thomas M ^a  

^a Rheinland Pfälzische Technische Universität Kaiserslautern Landau   (Germany)

^b GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

Author keywords

Binarization of document images; Camera captured document images

Indexed keywords

EID: 77949281295     PISSN: 0958695X     EISSN: 09486968     Source Type: Journal    
DOI: None     Document Type: Article

References (42)

1. Badekas, E., Nikolaou, N., and Papamarkos, N. (2006). Text binarization in color documents. International Journal of Imaging Systems and Technology, 16(6):262-274.
2. Badekas, E. and Papamarkos, N. (2005). Automaticevaluation of document binarization results. In Proceedings 10th Iberoamerican Congress on Pattern Recognition, pages 1005-1014, Havana, Cuba.
3. Bernsen, J. (1986). Dynamic thresholding of gray level images. InProceedings 8th International Conference on Pattern Recognition, pages 1251-1255.
4. Brown, M. S. and Seales, W. B. (2004). Image restoration of arbitrarily warped documents. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(10):1295-1306.
5. Bukhari, S. S., Shafait, F., and Breuel, T. M. (2009a). Dewarping of document images using coupled-snakes. In Proceedings of First International Workshop on Camera-Based Document Analysis and Recognition, pages 34-41, Barcelona, Spain.
6. Bukhari, S. S., Shafait, F., and Breuel, T. M. (2009b). Foreground-background regions guided binarization of camera-captured document images. In Proceedings of First International Workshop on Camera-Based Document Analysis and Recognition, pages 18-25, Barcelona, Spain.
7. Bukhari, S. S., Shafait, F., and Breuel, T. M. (2009c). Ridgesbased curled textline region detection from grayscale camera-captured document images. In Proc. The 13th International Conference on Computer Analysis of Images and Patterns, volume 5702 of Lecture Notes in Computer Science, pages 173-180, Muenster, Germany.
8. Bukhari, S. S., Shafait, F., and Breuel, T. M. (2009d). Scriptindependent handwritten textlines segmentation using active contours. In Proceedings 10th International Conference on Document Analysis and Recognition, pages 446-450, Barcelona, Spain.
9. Cao, H., Ding, X., and Liu, C. (2003). Rectifying the bound document image captured by the camera: a model based approach. In Proceedings of theInternational Conference on Document Analysis and Recognition (ICDAR), pages 71-75, Edinburgh, Scotland.
10. Cattoni, R., Coianiz, T., Messelodi, S., and Modena, C. M. (1998). Geometric layout analysis techniques for document image understanding: a review. Technical report, IRST, Trento, Italy.
11. Chaudhuri, S., Chatterjee, S., Katz, N., Nelson, M., and Goldbaum, M. (1989). Detection of blood vessels in retinal images using two-dimensionalmatched filters. IEEE Transaction on Medical Imaging, 8(3):263-269.
12. Fu, B., Wu, M., Li, R., Li, W., and Xu, Z. (2007). A model-based bookdewarping method using text line detection. In Proceedings 2nd International Workshop on Camera Based Document Analysis and Recognition, pages 63-70, Curitiba, Barazil.
13. Gatos, B., Ntirogiannis, K., and Pratikakis, I. (2009). Coupledsnakelet model for curled textline segmentation of camera-captured document images. In Proceedings 10th International Conference on Document Analysis and Recognition, Barcelona, Spain.
14. Gatos, B., Pratikakis, I., and Ntirogiannis, K. (2007). Segmentation based recovery of arbitrarily warped document images. In Proceedings 9th International Conference on Document Analysis and Recognition, pages 989-993, Curitiba, Brazi.
15. Gatos, B., Pratikakis, I., and Perantonis, S. J. (2006). Adaptive degraded document image binarization. Pattern Recognition, 39(3):317-327.
16. Gorman, L. O. (1988). Matched filter design for fingerprint image enhancement. In Proceedings International Conference on Acoustics, Speech, and Signal Processing, pages 916-919, New York, NY, USA.
17. Horn, B. K. P. (1970). Shape from shading: A method for obtaining the shape of a smooth opaque object from one view. PhD Thesis, MIT.
18. Kim, I.-J. (2004). Multi-window binarization of camera image for document recognition. In Proceedings 9th International Workshop on Frontiers in Handwriting Recognition, pages 323-327, Washington, DC, USA.
19. Lampert, C. and Wirjadi, O. (2006). An optimalnonorthogonal separation of the anisotropic gaussian convolution filter. IEEE Trans-actions on Image Processing, 15(11):3501-3513.
20. Liang, J., Doermann, D., and Li, H. (2005). Camera-based analysis of text and documents: a survey. International Journal of Document Analysis and Recognition, 7(2-3):84-104.
21. Lu, S. and Tan, C. L. (2007). Thresholding of badly illuminateddocument images through photometric correction. In Proceedings 2007 ACM symposium on Document engineering, pages 3-8, Winnipeg, Manitoba, Canada.
22. Lu, S. J., Chen, B. M., and Ko, C. C. (2005). Perspective rectificationof document images using fuzzy set and morphological operations. Image and VisionComputing, 23:541-553.
23. Lu, S. J. and Tan, C. L. (2006). The restoration of camera documents through image segmentation. In Proceedings 7th IAPR workshop on Document Analysis Systems, pages 484-495, Nelson, New Zealand.
24. Mori, S., Suen, C., and Yamamoto, K. (1992). Historical review of OCR research and development. Proceedings of the IEEE, 80(7):1029-1058.
25. Niblack, W. (1986). An Introduction to Image Processing. PrenticeHall, Englewood Cliffs, NJ.
26. O'Gorman, L. (1994). Binarization and multithresholding of document images using connectivity. Graphical Model and Image Processing, 56(6):494-506.
27. Otsu, N. (1979). A threshold selection method from gray-level histograms. IEEE Transactions Systems, Man and Cybernetics, 9(1):62-66.
28. Rangoni, Y., Shafait, F., and Breuel, T. M. (2009). OCR basedthresholding. In Proceedings IAPR Conference on Machin Vision Applications, Yokohama, Japan.
29. Riley, M. D. (1987). Time-frequency representation for speech signals. PhD Thesis, MIT.
30. Sauvola, J. and Pietikainen, M. (2000). Adaptive document image binarization. Pattern Recognition, 33(2):225-236.
31. Sezgin, M. and Sankur, B. (2004). Survey over image thresholding techniques and quantitative performance evaluation. Journal of Electronic Imaging, 13(1):146-165.
32. Shafait, F., Beusekom, J. V., Keysers, D., and Breuel, T. M. (2008a). Document cleanup using page frame detection. Int. Jour. on Document Analysis and Recognition, 11(2):81-96.
33. Shafait, F., Beusekom, J. V., Keysers, D., and Breuel, T. M.(2008b). Structural mixtures for statistical layout analysis. In Proceedings 8th International Workshop on Document Analysis Systems, pages 415-422, Nara, Japan.
34. Shafait, F. and Breuel, T. M. (2007). Document image dewarping contest. In Proceedings 2nd International Workshop on Camera Based Document Analysis and Recognition, pages 181-188, Curitiba, Brazil.
35. Shafait, F., Keysers, D., and Breuel, T. M. (2008c). Efficientimplementation of local adaptive thresholding techniques using integral images. InProceedings 15th International Conference on Document Recognition and Retrieval, volume 6815 of SPIE Electronic Imaging, page 81510, San Jose, CA, USA.
36. Shafait, F., Keysers, D., and Breuel, T. M. (2008d). Performance evaluation and benchmarking of six page segmentation algorithms. IEEETransactions on Pattern Analysis and Machine Intelligence, 30(6):941-954.
37. Sobottka, K., Kronenberg, H., Perroud, T., and Bunke, H.(2000). Text extraction from colored book and journal covers. International Journalon Document Analysis and Recognition, 2(4):163-176.
38. Tan, C. L., Zhang, L., Zhang, Z., and Xia, T. (2006). Restoring warped document images through 3d shape modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(2):195-208.
39. Tsai, C. and Lee, H. (2002). Binarization of color document images via luminance and saturation color features. IEEE Transactions on Image Processing, 11(4):434-451.
40. Ulges, A., Lampert, C. H., and Breuel, T. M. (2005). Documentimage dewarping using robust estimation of curled text lines. In Proceedings 8thInternational Conference on Document Analysis and Recognition, pages 1001-1005, Seoul, Korea.
41. White, J. M. and Rohrer, G. D. (1983). Image thresholding for optical character recognition and other applications requiring character image extraction. IBM Journal of Research and Development, 27(4):400-411.
42. Zhang, Z. and Tan, C. L. (2003). Correcting document imagewarping based on regression of curved text lines. In Proceedings 7th International Conference on Document Analysis and Recognition, pages 589-593, Edinburgh, Scotland.