Layout analysis for Arabic historical document images using machine learning

Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR

Volumn , Issue , 2012, Pages 639-644

  Bukhari, Syed Saqib ^a   Breuel, Thomas M ^a   Asi, Abedelkadir ^b   El Sana, Jihad ^b  

^a University of Koblenz Landau   (Germany)

^b BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

BLOCK SEGMENTATIONS; CONNECTED COMPONENT; DISCRIMINATIVE FEATURES; DOCUMENT IMAGES; FEATURE VECTORS; HISTORICAL DOCUMENTS; LAYOUT ANALYSIS; MULTI-LAYER PERCEPTION; PAGE LAYOUT ANALYSIS; PIXEL LEVEL; SEGMENTATION ACCURACY; VOTING SCHEMES;

LEARNING ALGORITHMS;

EID: 84874270401     PISSN: 15505235     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICFHR.2012.227     Document Type: Conference Paper

References (19)

1. DFG's "Cultural Heritage" programme. http://www. islamicmanuscripts.net/content/below/index.xml. Online; accessed December, 2012.
2. A. Antonacopoulos and A. C. Downton. Special issue on the analysis of historical documents. IJDAR, 9:75-77, 2007.
3. D. S. Bloomberg. Multiresolution morphological approach to document image analysis. In International Conference on Document Analysis and Recognition (ICDAR), 1991.
4. T. Breuel and F. Shafait. Automlp: Simple, effective, fully automated learning rate and size adjustment. In The Learning Workshop, 2010.
5. S. Bukhari, M. A. Azawi, F. Shafait, and T. Breuel. Document image segmentation using discriminative learning over connected components. In Proceedings of the 9th IAPR International Workshop on Document Analysis Systems, 2010.
6. S. S. Bukhari, F. Shafait, and T. M. Breuel. Improved document image segmentation algorithm using multiresolution morphology. In Document Recognition and Retrieval XVIII, 2011.
7. R. Cattoni, T. Coianiz, S. Messelodi, and C. M. Modena. Geometric layout analysis techniques for document image understanding: a review. Technical report, ITCirst, 1998.
8. A. Garz, R. Sablatnig, and M. Diem. Layout analysis for historical manuscripts using sift features. International Conference on Document Analysis and Recognition, 0:508-512, 2011.
9. A. K. Jain and Y. Zhong. Page segmentation using texture analysis. Pattern Recognition, 29(5):743-770, 1996.
10. K. Kise, A. Sato, and M. Iwata. Segmentation of page images using the area voronoi diagram. Comput. Vis. Image Underst., 70:370-382, June 1998.
11. L. Likforman-Sulem, A. Zahour, and B. Taconet. Text line segmentation of historical documents: a survey. International Journal on Document Analysis and Recognition, 9:123-138, 2007. 10.1007/s10032-006-0023-z.
12. S. Mao, A. Rosenfeld, and T. Kanungo. Document structure analysis algorithms: a literature survey. In DRR, 2003.
13. A. Materka and M. Strzelecki. Texture analysis methods - a review. Technical report, Institute of Electronics, Technical University of Lodz, 1998.
14. M. A. Moll and H. S. Baird. Segmentation-based retrieval of document images from diverse collections. In Document Recognition and Retrieval XV, 2008.
15. A. Namboodiri and A. Jain. Document Structure and Layout Analysis. pages 29-48. 2007.
16. O. Okun and M. Pietikinen. A survey of texture-based methods for document layout analysis. In Proc. Workshop on Texture Analysis in Machine Vision, 1999.
17. N. Ouwayed and A. Belaïd. Multi-oriented text line extraction from handwritten arabic documents. In 8th IAPR International Workshop on Document Analysis Systems (DAS), 2008.
18. L. Wolf, R. Littman, N. Mayer, N. Dershowitz, R. Shweka, and Y. Choueka. Automatically Identifying Join Candidates in the Cairo Genizah.
19. C. S. Won. Image extraction in digital documents. J. Electronic Imaging, 17, 2008.