Paper Info
Title
Recognition of Printed Mathematical Expressions Using Two-Dimensional Stochastic Context-Free Grammars
Abstract
In this work, a system for recognition of printed mathematical expressions has been developed. Hence, a statistical framework based on two-dimensional stochastic context-free grammars has been defined. This formal framework allows to jointly tackle the segmentation, symbol recognition and structural analysis of a mathematical expression by computing its most probable parsing. In order to test this approach a reproducible and comparable experiment has been carried out over a large publicly available (InftyCDB-1) database. Results are reported using a well-defined global dissimilitude measure. Experimental results show that this technique is able to properly recognize mathematical expressions, and that the structural information improves the symbol recognition step.
Year
DOI
Venue
2011
10.1109/ICDAR.2011.247
ICDAR-1
Keywords
Field
DocType
context-free grammars,handwriting recognition,image segmentation,mathematics computing,stochastic processes,formal framework,printed mathematical expression recognition,statistical framework,structural analysis,symbol recognition,two dimensional stochastic context free grammars,context-free grammars,mathematical expression recognition,stochastic parsing,structural analysis,symbol recognition
Rule-based machine translation,Context-free grammar,Pattern recognition,Expression (mathematics),Segmentation,Computer science,Stochastic process,Handwriting recognition,Image segmentation,Artificial intelligence,Parsing
Conference
ISSN
Citations 
PageRank 
1520-5363
10
0.62
References 
Authors
9
3
Name
Order
Citations
PageRank
Francisco Álvaro1685.35
Joan-Andreu Sánchez219829.00
Jose-Miguel Benedi3291.93