A document image segmentation system using analysis of connected components

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 2013, Pages 753-757

  Zirari, F ^a   Ennaji, A ^a   Nicolas, S ^a   Mammass, D ^b  

^a UNIVERSITÉ DE ROUEN   (France)

^b IBN ZOHR UNIVERSITY   (Morocco)

Author keywords

connected components; document image; graph; structural analysis; ttext non text separating

Indexed keywords

CONNECTED COMPONENT; DOCUMENT IMAGE SEGMENTATION; DOCUMENT IMAGES; GRAPH; GRAPH-BASED MODELING; OPTICAL CHARACTER RECOGNITION (OCR); PRE-PROCESSING STEP; TTEXT/NON-TEXT SEPARATING;

OPTICAL CHARACTER RECOGNITION; SEPARATION; STRUCTURAL ANALYSIS;

TEXT PROCESSING;

EID: 84889576530     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2013.154     Document Type: Conference Paper

References (10)

1. M. A. Moll and H. S. Baird. "Segmentation-based retrieval of document images from diverse collections". In Document Recognition and Retrieval XV, Proc. Of the SPIE, volume 6815, pp. 68150L-68150L, 2008.
2. M. A. Moll, H. S. Baird, and C. An. "Truthing for pixel-accurate segmentation". In Document Analysis Systems, the Eighth IAPR Int. Workshop, pp. 379-385, Sep. 2008.
3. Bukhari, S. S., Shafait, F., and Breuel, T. M., "Document image segmentation using discriminative learning over connected components", in Proc. 9th IAPR Workshop on Document Analysis Systems, pp. 183-190, 2010.
4. Keysers, D., Shafait, F., and Breuel, T. M., "Document image zone classification-A simple high-performance approach", in Proc. 2nd Int. Conf. Computer Vision Theory and Applications, pp. 44-51, Mar. 2007.
5. Okun, O., Doermann, D., and Pietikainen, M. "Page Segmentation and Zone Classi-cation: The State of the Art". Technical Report LAMPTR-036, CAR-TR927, CS-TR-4079, University of Maryland, College Park, 1999.
6. Bloomberg, D. S., "Multiresolution morphological approach to document image analysis", in Proc. Int. Conf. Documnet Analysis and Recognition (ICDAR), pp. 963-971, 1991.
7. Pedro F. Felzenszwalb and Daniel P. Huttenlocher. "Efficient Graph-Based Image Segmentation". International Journal of Computer Vision, Volume 59: pp. 167-181, Number 2, September 2004.
8. Guyon, I., Haralick, R. M., Hull, J. J., and Phillips, I. T. "Data sets for OCR and document image understanding research". In Bunke, H. and Wang, P., editors, "Handbook of character recognition and document image analysis", pp. 779-799. World Scientific, Singapore, 1997.
9. A. Antonacopoulos, D. Bridson, C. Papadopoulos and S. Pletschacher "Performance Analysis Framework for Layout Analysis Methods", Proceedings of the 10th International Conference on Document Analysis and Recognition (ICDAR), Catalonia, Spain, pp. 296-300, September 2009.
10. Wang, Y., Phillips, I. T., and Haralick, R. M. "Document zone content classication and its performance evaluation". Pattern Recognition, 39 : pp. 57-73, 2006.