A typed and handwritten text block segmentation system for heterogeneous and complex documents

Proceedings - 11th IAPR International Workshop on Document Analysis Systems, DAS 2014

Volumn , Issue , 2014, Pages 46-50

  Barlas, P ^a   Adam, S ^a   Chatelain, C ^b   Paquet, T ^a  

^a UNIVERSITÉ DE ROUEN   (France)

^b Thoracic oncology and respiratory intensive care   (France)

Author keywords

Document Image Analysis; MAURDOR campaign; Text block segmentation

Indexed keywords

IMAGE ANALYSIS;

BLOCK SEGMENTATIONS; COMPLEX DOCUMENTS; CONNECTED COMPONENT; DOCUMENT IMAGE ANALYSIS; HANDWRITTEN TEXTS; MAURDOR CAMPAIGN;

TEXT PROCESSING;

EID: 84903737407     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DAS.2014.39     Document Type: Conference Paper

References (19)

1. E. Augustin, M. Carr, E. Grosicki, J. M. Brodin, E. Geoffrois and F. Preteux, RIMES evaluation campaign for handwritten mail processing, In Proceedings of the Workshop on Frontiers in Handwriting Recognition, 2006, 231-235
2. D. Bloomberg, Leptonica: An open source C library for efficient image processing, analysis and operation, http://www. leptonica. com/, 2007
3. T. M. Breuel, Two Geometric Algorithms for Layout Analysis,In Workshop on Document Analysis Systems,2002,188-199
4. M. Bulacu and L. Schomaker, A comparison of clustering methods for writer identification and verification, In Proceedings of the Eighth International Conference on Document Analysis and Recognition,2005, 1275-1279
5. G. Ghiasi and R. W. Daly, An efficient method for offline text independent writer identification, Pattern Recognition (ICPR),IEEE,2010,1245- 1248
6. J. Iivarinen and A. Visa, Shape Recognition of Irregular Objects, Intelligent Robots and Computer Vision XV: Algorithms, Techniques, Active Vision, and Materials Handling, Proc. SPIE 2904,1996,25-32
7. T. Kasar, P. Barlas, S. Adam, C. Chatelain and T. Paquet, Learning to Detect Tables in Scanned Document Images using Line Information,In Proceedings of the Twelfth International Conference on Document Analysis and Recognition, 2013
8. MAURDOR campaign website, http://www. maurdor-campaign. org/
9. M. Pechwitz, S. Snoussi Maddouri, V. Mrgner, N. Ellouze and H. Amiri, IFN/ENIT-DATABASE OF HANDWRITTEN ARABIC WORDS, CIFED, 2002
10. A. K. Jain and S. Bhattacharjee, Text segmentation using gabor filters for automatic document processing, Machine Vision and Applications, Volume 5, 1992, 169-184
11. F. M. Wahl, K. Y. Wong and R. G. Casey, Block segmentation and text extraction in mixed text/image documents, Computer Graphics and Image Processing, Volume 20, 1982, 375-390
12. S. Kumar,R. Gupta, N. Khanna, S. Chaudhury and S. D. Joshi, Text Extraction and Document Image Segmentation Using Matched Wavelets and MRF Model, Image Processing, IEEE Transactions on, Volume 16, 2007, 2117-2128
13. Y. Zhong, K. Karu and A. K. Jain, Locating text in complex color image, Pattern Recognition, 1995, 1523-1535
14. K. Jung, K. Kim and A. K. Jain, Text information extraction in images and video: A survey, Pattern Recognition, Volume 37, 2004, 977-997
15. J. Ohya, A. Shio and S. Akamatsu, Recognizing characters in scene images, IEEE Trans. Pattern Anal. Mach. Intell., 1994, 214-224
16. H. Hase, T. Shinokawa, M. Yoneda, C. Y. Suen, Character string extraction from color documents,Pattern Recognition,Volume 34, 2001, 1349-1365
17. C. Chatelain, L. Heutte and T. Paquet, A syntax-directed method for numerical field extraction using classifier combination, IWFHR, 2004, 93-98
18. V. Wu, R. Manmatha, E. M. Riseman, TextFinderan automatic system to detect and recognize text in images, IEEE Trans. Pattern Anal. Mach. Intell., 1999, 1224-1229
19. B. Gatos, N. Stamatopoulos, G. Louloudis, ICDAR 2009 Handwriting Segmentation Contest, ICDAR, 2009, 1393-1397