International Journal on Document Analysis and Recognition

International Journal on Document Analysis and Recognition

http://www.springerlink.com/content/101562/

The large number of existing documents and the production of a multitude of
new ones every year raise important issues in efficient handling, retrieval
and storage of these documents and the information which they contain. This
has led to the emergence of new research domains dealing with the
recognition by computers of the constituent elements of documents -
including characters, symbols, text, lines, graphics, images, handwriting,
signatures, etc. In addition, these new domains deal with automatic analyses
of the overall physical and logical structures of documents, with the
ultimate objective of a high-level understanding of their semantic content.
We have also seen renewed interest in optical character recognition (OCR)
and handwriting recognition during the last decade. Document analysis and
recognition are obviously the next stage.

Automatic, intelligent processing of documents is at the intersections of
many fields of research, especially of computer vision, image analysis,
pattern recognition and artifical intelligence, as well as studies on
reading, handwriting and linguistics. Although quality document related
publications continue to appear in journals dedicated to these domains, the
community will benefit from having this journal as a focal point for
archival literature dedicated to document analysis and recognition.

Subscribers have access to full-text articles.

Editor: David S. Doermann
Email: doermann@cfar.umd.edu