Table recognition evaluation and combination methods

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

Volumn 2005, Issue , 2005, Pages 1237-1241

  Kboubi, Férihane ^a   Chabi, Anja Habacha ^a   Ahmed, Mohamed Ben ^a  

^a UNIVERSITY OF MANOUBA   (Tunisia)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; INFORMATION RETRIEVAL SYSTEMS; NUMERICAL METHODS; TABLE LOOKUP;

DOCUMENT ANALYSIS AND RECOGNITION (DAR); DOCUMENT RECOGNITION; TABLE RECOGNITION;

OPTICAL CHARACTER RECOGNITION;

EID: 33947377167     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2005.224     Document Type: Conference Paper

References (17)

1. B. A. Yanikoglu, L. Vincent, PINK PANTHER: A complete environment for ground-tmthing and benchmarking document page segmentation, Pattern Recognition, September 1998, Vol. 31, No. 9, pp. 1191-1204.
2. Kittler, J. M. Hatef, R. P. W. Duinand J.Matas, "On Combining Classifiers", IEEE Trans. on Pattern Analysis and Machine Intelligence, 1998, Vol.20, No.3, pp.226-240.
3. th World Multi Conference on Systemics, Cybernetics and Informatics, SCI 2004, Orlando, Florida.
4. Férihane Kboubi, Une nouvelle approche d'analyse et de reconnaissance de documents basée sur la combinaison de logiciels de ROC multilingues, Master Thesis, ENSI, Tunisia, September 2004.
5. A. Belaïd, L. Pierron. A generic approach for OCR performance evaluation. Electronic Imaging. San Jose,. 2002. 5p.
6. T. K. Ho and J. J. Hull, S. N. Srihari, Combination of Decisions by Multiple Classifiers, Structured Document Image Analysis, Ed. H. S. Baird and H. Bunke and K. Yamamoto, Springer- Verlag, Heidelberg, 1992, pp. 188-202.
7. T. K. Ho, J. J. Hull, S. N. Srihari, On Multiple Classifier Systems for Pattern Recognition, Proc.11th Int Conference on Pattern Recognition, Netherlands, 1992, pp. 84-87.
8. S. Behnke, M. Pfister, R. Rojas, A Study on the Combination of Classifiers for Handwritten Digit Recognition, Proc of Neural Networks in Applications, Third International Workshop 1998, Magdeburg, Germany, 39-46,
9. P. N. Bennett, S. T. Dumais, E. Horvitz, Probabilistic Combination of Text Classifiers Using Reliability Indicators: Models and Results, Proc 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Finland, August 2002
10. A. Baykut, A. Erçil: Towards Automated Classifier Combination for Pattern Recognition. Multiple Classifier Systems 2003, pp 94-105
11. B. A. Yanikoglu, L. Vincent, PINK PANTHER: A complete, environment for ground-truthing and benchmarking document page segmentation, Pattern Recognition, 1998, Vol. 31, No. 9, pp. 1191-1204.
12. J. Kanai, S. V. Rice, T. A. Nartker, G. Nagy. Automated Evaluation of OCR Zoning. IEEE Transaction on Pattern Analysis and Machine intelligence,Vol 17, No 1, 1995. 86-90.
13. S. Mao, T. Kanungo. Empirical Performance Evaluation Methodology and its Application to Page Segmentation Algorithms. IEEE Transaction on Pattern Analysis And Machine Intelligence, Vol. 23, No. 3, Mars 2001, pp 242-256.
14. T. Kanungo, G. A. Marton, O. Bulbul, Paired Model Evaluation of OCR Algorithms, UMD - TR3972, December 1998.
15. K. Swam, A. Brodeen, FALCon: Evaluation of OCR and Machine Translation Paradigms, US Army Research Laboratory, 1999.
16. T.Kanai, T.A.Nartker, S.V.Rice, Performance Metrics for Document understanding systems, In Proc. 2nd Intl. Conf. on Document Analysis and Recognition, Tsukuba Science City, Japan, October 1993, pp 424-427.
17. J. Hu, R. Kashi, D. Lopresti, G. Wilfong, Evaluating the performance of table processing algorithms, International Journal on Document Analysis and Recognition, Vol. 4, No. 3, March 2002, pp. 140-153.