Binarization of historical document images using the local maximum and minimum

ACM International Conference Proceeding Series

Volumn , Issue , 2010, Pages 159-165

  Su, Bolan ^a   Lu, Shijian ^b   Tan, Chew Lim ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

Document image analysis; Document image binarization; Image contrast; Image pixel classification

Indexed keywords

BINARIZATIONS; DATA SETS; DOCUMENT IMAGE ANALYSIS; DOCUMENT IMAGES; HIGH CONTRAST; HIGH-CONTRAST IMAGES; HISTORICAL DOCUMENTS; IMAGE CONTRASTS; IMAGE GRADIENTS; IMAGE PIXELS; LOCAL MAXIMUM;

DIGITAL IMAGE STORAGE; ELECTRONIC WARFARE; IMAGE ANALYSIS; PIXELS;

INFORMATION RETRIEVAL SYSTEMS;

EID: 77955006518     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1815330.1815351     Document Type: Conference Paper

References (20)

1. J. Bernsen. Dynamic thresholding of gray-level images. International Conference on Pattern Recognition, pages 1251-1255, October 1986.
2. A. Brink. Thresholding of digital images using two-dimensional entropies. Pattern Recognition, 25(8):803-808, 1992.
3. J. Canny. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6):679-698, January 1986.
4. Y. Chen and G. Leedham. Decompose algorithm for thresholding degraded historical document images. IEEE Proceedings on Vision, Image and Signal Processing, 152(6):702-714, December 2005.
5. A. Dawoud. Iterative cross section sequence graph for handwritten character segmentation. IEEE Transactions on Image Processing, 16(8):2150-2154, August 2007.
6. L. Eikvil, T. Taxt, and K. Moen. A fast adaptive method for binarization of document images. International Conference on Document Analysis and Recognition, pages 435-443, September 1991.
7. B. Gatos, K. Ntirogiannis, and I. Pratikakis. ICDAR 2009 document image binarization contest (DIBCO 2009). In International Conference on Document Analysis and Recognition, pages 1375-1382, July 2009.
8. B. Gatos, I. Pratikakis, and S. Perantonis. Adaptive degraded document image binarization. Pattern Recognition, 39(3):317-327, 2006.
9. I.-K. Kim, D.-W. Jung, and R.-H. Park. Document image binarization based on topographic analysis using a water flow model. Pattern Recognition, 35(1):265-277, 2002.
10. J. Kittler and J. Illingworth. On threshold selection using clustering criteria. IEEE transactions on systems, man, and cybernetics, 15:652-655, 1985.
11. G. Leedham, C. Yan, K. Takru, J. H. N. Tan, and L. Mian. Comparison of some thresholding algorithms for text/background segmentation in difficult document images. International Conference on Document Analysis and Recognition, pages 859-864, 2003.
12. Y. Liu and S. Srihari. Document image binarization based on texture features. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(5):540-544, May 1997.
13. S. J. Lu and C. L. Tan. Binarization of badly illuminated document images through shading estimation and compensation. International Conference on Document Analysis and Recognition, pages 312-316, 2007.
14. W. Niblack. An Introduction to Digital Image Processing. Prentice-Hall, Englewood Cliffs, New Jersey, 1986.
15. N. Otsu. A threshold selection method from gray level histogram. IEEE Transactions on System, Man, Cybernetics, 19(1):62-66, January 1978.
16. J. Parker, C. Jennings, and A. Salkauskas. Thresholding using an illumination model. International Conference on Document Analysis and Recognition, pages 270-273, October 1993.
17. J. Sauvola and M. Pietikainen. Adaptive document image binarization. Pattern Recognition, 33(2):225-236, 2000.
18. O. Trier and T. Taxt. Evaluation of binarization methods for document images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(3):312-315, March 1995.
19. M. van Herk. A fast algorithm for local minimum and maximum filters on rectangular and octagonal kernels. Pattern Recognition Letters, 13(7):517-521, 1992.
20. J.-D. Yang, Y.-S. Chen, and W.-H. Hsu. Adaptive thresholding algorithm and its hardware implementation. Pattern Recognition Letters, 15(2):141-150, 1994.