International Journal of Document Analysis and Recognition

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Subject: International Journal of Document Analysis and Recognition
Date: Wed, 4 Mar 1998 19:57:43 -0500 (EST)

International Journal of Document Analysis and Recognition

http://link.springer.de/link/service/journals/10032/index.htm

ISSN: 1433-2833 (printed version)
ISSN: 1433-2825 (electronic version)

International Journal of Document Analysis and Recognition is an
electronic version of the print journal of the same title published by
Springer-Verlag, Berlin/Heidelberg.

About the Journal:

       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. 

       This journal will publish articles of four primary types -
       original research papers, correspondence, overviews and
       summaries, and system descriptions. Special issues on active
       areas of research will be encouraged. We welcome
       submissions in all areas related to document analysis and
       recognition. Possible topics include: 

       - Document Image Processing
       - Document Models
       - Handwriting Models and Analysis
       - Character and Word Recognition
       - On-line Recognition
       - Pen Based Computing
       - Multi-lingual Processing
       - Physical and Logical Page Analysis
       - Graphics Recognition
       - Map and Line Drawing Understanding
       - Storage and Retrieval of Documents
       - Text Analysis and Processing
       - Natural Language Issues
       - Information Extraction and Filtering
       - Performance Evaluation
       - Document Authentification and Validation
       - Implementations, Applications and Systems 

       as well as non-traditional topics such as: 

       - Processing Text in other Contexts
       - Multimedia and Hypermedia Analysis
       - Time Varying Documents
       - Distributed Document Collections (Digital Libraries)

Contact:

helpdesk@link.springer.de