Binarization of degraded document image based on feature space partitioning and classification

International Journal on Document Analysis and Recognition

Volumn 15, Issue 1, 2012, Pages 57-69

  Valizadeh, Morteza ^a   Kabir, Ehsanollah ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Binarization; Degraded document; Feature space partitioning; Mode association clustering; Structural contrast

Indexed keywords

BINARIZATIONS; DEGRADED DOCUMENTS; FEATURE SPACE; MODE ASSOCIATION CLUSTERING; STRUCTURAL CONTRAST;

PARTITIONS (BUILDING); PIXELS;

ALGORITHMS;

EID: 84857360045     PISSN: 14332833     EISSN: 14332825     Source Type: Journal    
DOI: 10.1007/s10032-010-0142-4     Document Type: Article

References (26)

1. Otsu N.: A threshold selection method from grey level histogram. IEEE Trans. Syst. Man Cybernet. 9, 62-66 (1979).
2. Kapur J. N., Sahoo P. K., Wong A. K. C.: A new method for gray level picture thresholding using the entropy of the histogram. Comput. Vis. Graph. Image Process. 29, 273-285 (1985).
3. Weszka J. S., Rosenfield A.: Histogram modification for threshold selection. IEEE Trans. Syst. Man Cybernet. 9, 38-52 (1979).
4. Dawoud A., Kamel M. S.: Iterative multimodel subimage binarization for handwritten character segmentation. IEEE Trans. Image Process. 13, 1223-1230 (2004).
5. Liu Y., Srihari S. N.: Document image binarization based on texture features. IEEE Trans. Pattern Anal. Mach. Intell. 19, 540-544 (1997).
6. Niblack W.: An Introduction to Digital Image Processing. Prentice Hall, Englewood Cliffs, NJ, USA (1986).
7. White J. M., Rohrer G. D.: Imager segmentation for optical character recognition and other applications requiring character image extraction. IBM J. Res. Dev. 27, 400-411 (1983).
8. Parker J. R.: Gray level thresholding in badly illuminated images. IEEE Trans. Pattern Anal. Mach. Intell. 13, 813-819 (1991).
9. Kamel M., Zhao A.: Extraction of binary character/graphics images from grayscale document images. Graph. Models Image Process. 55, 203-217 (1993).
10. Bernsen, J.: Dynamic thresholding of grey-level images. In: Proceedings of the 8th International Conference on Pattern Recognition, Paris, pp. 1251-1255 (1986).
11. Chen Y., Leedham G.: Decompose algorithm for thresholding degraded historical document images. IEE Proc. Vis. Image Signal Process. 152, 702-714 (2005).
12. Yang Y., Yan H.: An adaptive logical method for binarization of degraded document images. Pattern Recognit. 33, 787-807 (2000).
13. Sauvola J., Pietikainen M.: Adaptive document image binarization. Pattern Recognit. 33, 225-236 (2000).
14. Ye X., Cheriet M., Suen C. Y.: Stroke-model-based character extraction from gray-level document images. IEEE Trans. Image Process. 10, 1152-1161 (2001).
15. Oh H. H., Lim K. T., Hien S. I.: An improved binarization algorithm based on a water flow model for document image with inhomogeneous backgrounds. Pattern Recognit. 38, 2612-2625 (2005).
16. Gatos B., Pratikakis I., Perantonis S. J.: Adaptive degraded document image binarization. Pattern Recognit. 39, 317-327 (2006).
17. Lu, S., Tan, C. L.: Binarization of badly illuminated document images through shading estimation and compensation. In: 9th International Conference on Document Analysis and Recognition, Brazil, pp. 312-316 (2007).
18. Huang S., Ahmadi M., Sid-Ahmed M. A.: A hidden Markov model-based character extraction method. Pattern Recognit. 41, 2890-2900 (2008).
19. Chou C. H., Lin W. H., Chang F.: A binarization method with learning-built rules for document images produced by cameras. Pattern Recognit. 43, 1518-1530 (2010).
20. Valizadeh, M., Komeili, M., Armanfard, N., Kabir, E.: Degraded document image binarization based on combination of two complementary algorithms. In: International Conference in Advances in Computer Tools for Engineering Applications, Lobanon, pp. 595-599 (2009).
21. Li J., Ray S., Lindsay B. G.: A nonparametric statistical approach to clustering via mode identification. J. Mach. Learn. Res. 8, 1687-1723 (2007).
22. Badekas, E., Papamarkos, N.: Automatic evaluation of document binarization results. In: Proceedings of the 10th Iberoamerican Congress on Pattern Recognition, pp. 1005-1014. Havana (2005).
23. First international document image binarization contest (http://users. iit. demokritos. gr/~bgat/DIBCO2009/benchmark/).
24. Media Team Oulu Document database (http://www. mediateam. oulu. fi/MTDB/).
25. Gatos, B., Ntirogiannis K., Pratikakis, I.: ICDAR 2009 document image binarization contest (DIBCO 2009). In: 10th International Conference on Document Analysis and Recognition, Spain, pp. 1375-1382 (2009).
26. Solihin Y., Leedham C. G.: Integral ratio: A new class of global thresholding techniques for handwriting images. IEEE Trans. Pattern Anal. Mach. Intell. 21, 761-768 (1999).