Learning rich hidden Markov models in document analysis: Table location

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

Volumn , Issue , 2009, Pages 843-847

  Silva, Ana Costa ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DOCUMENT ANALYSIS; DOCUMENT STRUCTURE; EMISSION ENERGIES; GENERAL KNOWLEDGE; PROBABILISTIC GRAPHICAL MODELS; TABLE LOCATION; TRANSITION PROBABILITIES;

GRAPHIC METHODS; SPEECH RECOGNITION;

HIDDEN MARKOV MODELS;

EID: 71249127587     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2009.185     Document Type: Conference Paper

References (9)

1. Bishop, Christopher M., Markus Svensen and Geoffrey E. Hinton, "Distinguishing text from graphics in on-line handwritten ink", IWFHR, Japan, 2004.
2. Bishop Christopher M., "Pattern recognition and machine learning", Springer, 2006.
3. Chao, Hui, "Background pattern recognition in multi-page PDF document", DLIA, Edinburgh, 2003.
4. Cohen, W.W., M. Hurst, L.S. Jensen, "A flexible learning system for wrapping tables and lists in HTML documents, 11 WWW Conference, USA 2002.
5. Pinto, D., A. McCallum, X. Wei, W.B. Croft, "Table extraction using conditional random fields", SIGIR, Canada, 2003.
6. Silva, Ana Costa e, "New metrics for evaluating performance in document analysis tasks - application to the table case", ICDAR, Brazil, 2007.
7. Silva, Ana Costa e, Alípio Jorge, Luis Torgo, "Design of an end-to-end method to extract information from tables", IJDAR 8(2), Special issue on detection and understanding of tables and forms for document processing applications, 2004-06, pp. 144-171.
8. Wang, Y. (2000-02), "Document analysis: a table structure understanding and zone content classification", PHD Thesis, Washington Univ., USA.
9. Wang & Hu (2002), "A machine learning based approach for table detection on the web", International WWW Conference 11, USA 2002, pp. 242-250.