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inria-00570000, version 1

Document Analysis Research in the Year 2021

Daniel Lopresti () 1, Bart Lamiroy () 23

Twenty-fourth International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems - IEA/AIE 2011 6703 (2011) 264-274

Abstract: Despite tremendous advances in computer software and hardware, certain key aspects of experimental research in document analysis, and pattern recognition in general, have not changed much over the past 50 years. This paper describes a vision of the future where community-created and managed resources make possible fundamental changes in the way science is conducted in such fields. We also discuss current developments that are helping to lead us in this direction.

  • 1:  Computer Science & Engineering Department (CSE)
  • Lehigh University, Bethlehem, USA
  • 2:  QGAR (LORIA)
  • INRIA – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL) – CNRS : UMR7503
  • 3:  ORPAILLEUR (INRIA Lorraine - LORIA)
  • INRIA – CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
  • Domain : Computer Science/Computer Vision and Pattern Recognition
    Computer Science/Databases
    Computer Science/Document and Text Processing
    Computer Science/Learning
  • Comment : The original publication is available at www.springerlink.com
 
  • inria-00570000, version 1
  • oai:hal.inria.fr:inria-00570000
  • From: 
  • Submitted on: Thursday, 25 August 2011 07:00:09
  • Updated on: Tuesday, 20 December 2011 17:03:04