Using a generic document recognition method for mathematical formulae recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2390, Issue , 2002, Pages 236-244

  Garcia, Pascal ^a   Coüasnon, Bertrand ^a  

^a CAMPUS DE BEAULIEU   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

DOCUMENT RECOGNITION; LINE SEGMENT; MATHEMATICAL FORMULAS; MUSICAL SCORE; RECOGNITION METHODS; SYMBOL RECOGNITION; TABLE STRUCTURE;

PATTERN RECOGNITION;

EID: 33748194945     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45868-9_20     Document Type: Conference Paper

References (9)

1. E. Anquetil, B. Coüasnon, and F. Dambreville. A symbol classifier able to reject wrong shapes for document recognition systems. In Atul K. Chhabra and Dov Dori, editors, Graphics Recognition, Recent Advances, volume 1941 of Lecture Notes in Computer Science, pages 209–218. Springer, 2000.
2. K. F. Chan and D. Y. Yeung. Mathematical expression recognition: a survey. International Journal on Document Analysis and Recognition, 3:3–15, 2000.
3. B. Coüasnon. Dmos: A generic document recognition method, application to an automatic generator of musical scores, mathematical formulae and table structures recognition systems. In ICDAR, International Conference on Document Analysis and Recognition, pages 215–220, Seattle, USA, September 2001.
4. B. Coüasnon and J. Camillerapp. Using grammars to segment and recognize music scores. In L. Spitz and A. Dengel, editors, Document Analysis Systems. World Scientific, 1995.
5. B. Coüasnon and J. Camillerapp. A way to separate knowledge from program in structured document analysis: application to optical music recognition. In ICDAR, International Conference on Document Analysis and Recognition, volume 2, pages 1092–1097, Montréal, Canada, August 1995.
6. B. Coüasnon and L. Pasquer. A real-world evaluation of a generic document recognition method applied to a military form of the 19th century. In ICDAR, International Conference on Document Analysis and Recognition, pages 779–783, Seattle, USA, September 2001.
7. A. Grbavec and D. Blostein. Mathematics recognition using graph rewriting. In ICDAR, International Conference on Document Analysis and Recognition, volume 1, pages 417–421, Montréal, Canada, August 1995.
8. D. Blostein A. Grbavec. Recognition of mathematical notation. Handbook of character recognition and document image analysis, pp. 557-582, 1997.
9. S. Lavirotte L. Pottier. Mathematical formula recognition using graph grammar. Electronic Imaging, 1998.