Publications/lazzara.11.icdar

Authors

Guillaume Lazzara, Roland Levillain, Thierry Géraud, Yann Jacquelet, Julien Marquegnies, Arthur Crépin-Leblond

Where

Proceedings of the 11th International Conference on Document Analysis and Recognition (ICDAR)

Place

Beijing, China

Type

inproceedings

Projects

Olena

Date

2011-06-01

Abstract

Electronic documents are being more and more usable thanks to better and more affordable network, storage and computational facilities. But in order to benefit from computer-aided document management, paper documents must be digitized and analyzed. This task may be challenging at several levels. Data may be of multiple types thus requiring different adapted processing chains. The tools to be developed should also take into account the needs and knowledge of users, ranging from a simple graphical application to a complete programming framework. Finallythe data sets to process may be large. In this paper, we expose a set of features that a Document Image Analysis framework should provide to handle the previous issues. In particular, a good strategy to address both flexibility and efficiency issues is the Generic Programming (GP) paradigm. These ideas are implemented as an open source moduleSCRIBO, built on top of Olena, a generic and efficient image processing platform. Our solution features services such as preprocessing filters, text detection, page segmentation and document reconstruction (as XML, PDF or HTML documents). This framework, composed of reusable software components, can be used to create full-fledged graphical applications, small utilities, or processing chains to be integrated into third-party projects.

Documents

• Paper

• Poster

Bibtex (lrde.bib)

@InProceedings{	  lazzara.11.icdar,
  author	= {Guillaume Lazzara and Roland Levillain and Thierry
		  G\'eraud and Yann Jacquelet and Julien Marquegnies and
		  Arthur Cr\'epin-Leblond},
  title		= {The {SCRIBO} Module of the {Olena} Platform: a Free
		  Software Framework for Document Image Analysis},
  booktitle	= {Proceedings of the 11th International Conference on
		  Document Analysis and Recognition (ICDAR)},
  year		= 2011,
  address	= {Beijing, China},
  month		= sep,
  pages		= {252--258},
  organization	= {International Association for Pattern Recognition (IAPR)},
  abstract	= {Electronic documents are being more and more usable thanks
		  to better and more affordable network, storage and
		  computational facilities. But in order to benefit from
		  computer-aided document management, paper documents must be
		  digitized and analyzed. This task may be challenging at
		  several levels. Data may be of multiple types thus
		  requiring different adapted processing chains. The tools to
		  be developed should also take into account the needs and
		  knowledge of users, ranging from a simple graphical
		  application to a complete programming framework. Finally,
		  the data sets to process may be large. In this paper, we
		  expose a set of features that a Document Image Analysis
		  framework should provide to handle the previous issues. In
		  particular, a good strategy to address both flexibility and
		  efficiency issues is the Generic Programming (GP) paradigm.
		  These ideas are implemented as an open source module,
		  SCRIBO, built on top of Olena, a generic and efficient
		  image processing platform. Our solution features services
		  such as preprocessing filters, text detection, page
		  segmentation and document reconstruction (as XML, PDF or
		  HTML documents). This framework, composed of reusable
		  software components, can be used to create full-fledged
		  graphical applications, small utilities, or processing
		  chains to be integrated into third-party projects.},
  keywords	= {Document Image Analysis, Software Design, Reusability,
		  Free Software}
}