Using a Generic Document Recognition Method for Mathematical Formulae Recognition
We present in this paper how to apply to mathematical formulae a generic recognition method already used for musical scores, table structure and old forms recognition. We propose to use this method to recognize the structure of formulae and also to recognize some symbols made of line segments. This offers two possibilities: improving the symbol recognition when there is a lot of symbols like in mathematics; and overcoming segmentation problems we usually find in old mathematical formulae.
Unable to display preview. Download preview PDF.
- 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.CrossRefGoogle Scholar
- 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.Google Scholar
- 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.Google Scholar
- 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.Google Scholar
- 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.Google Scholar
- 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.Google Scholar
- 8.D. Blostein A. Grbavec. Recognition of mathematical notation. Handbook of character recognition and document image analysis, pp. 557–582, 1997.Google Scholar
- 9.S. Lavirotte L. Pottier. Mathematical formula recognition using graph grammar. Electronic Imaging, 1998.Google Scholar