BREADER: A MODULAR FRAMEWORK FOR VISION RECOGNITION OF MATHEMATICAL-LOGICAL STRUCTURES

Celia Salmim Rafael, Jorge Simao

2009

Abstract

We describe a system that uses image processing and computer vision techniques to discover and recognize mathematical, logical, geometric, and other structures and symbols from bit-map images. The system uses a modular architecture to allow easy incorporation of new kinds of object recognizers. The systems uses a ``blackboard'' data-structure to retain the list of objects that have been recognized. Particular object recognizers check this list to discover new objects. Initially, objects are simple pixel clusters resulting from image-processing and segmentation operations. First-level object recognizers include symbol/character recognizers and basic geometric elements. Higher-level object recognizers collect lower-level objects and build more complex objects. This includes mathematical-logical expressions, and complex geometric elements such as polylines, graphs, and others. The recognized objects and structures can be exported to a variety of vector graphic languages and type-setting systems, such as SVG and LaTeX.

Paper Citation

in Harvard Style

Salmim Rafael C. and Simao J. (2009). BREADER: A MODULAR FRAMEWORK FOR VISION RECOGNITION OF MATHEMATICAL-LOGICAL STRUCTURES . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 249-255. DOI: 10.5220/0001808702490255

in Bibtex Style

@conference{visapp09,
author={Celia Salmim Rafael and Jorge Simao},
title={BREADER: A MODULAR FRAMEWORK FOR VISION RECOGNITION OF MATHEMATICAL-LOGICAL STRUCTURES},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={249-255},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001808702490255},
isbn={978-989-8111-69-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - BREADER: A MODULAR FRAMEWORK FOR VISION RECOGNITION OF MATHEMATICAL-LOGICAL STRUCTURES
SN - 978-989-8111-69-2
AU - Salmim Rafael C.
AU - Simao J.
PY - 2009
SP - 249
EP - 255
DO - 10.5220/0001808702490255