Short CV

Bibliographical information

  • Laurent Heutte (30/5/64) received his PhD degree in Computer Engineering from the University of Rouen, France, in 1994. From 1996 to 2004, he was a Senior Lecturer in Computer Engineering and Control System at the University of Rouen. Since 2004, he has been a Professor in the same university where he is currently the Head of the "Document and Learning" group in LITIS lab. Professor Heutte's present research interests are statistical pattern recognition and multiple classifier systems applied to off-line cursive handwriting analysis and recognition, handwritten document layout analysis, information extraction from handwritten documents and image classification.

Education - Degrees

  • 2003: Ph.D. Supervision degree (Habilitation à Diriger les Recherches), Faculty of Sciences, University of Rouen
  • 1994: Ph.D. degree in Computer Science, Faculty of Sciences, University of Rouen
  • 1991: M.Sc. degree (DEA/DESS) in Computer Engineering and Control System, Faculty of Sciences, University of Rouen
  • 1990: Computer Engineering and Control Systems, Faculty of Sciences, University of Rouen

Position held

  • 2004-        : Professor, LITIS Lab., Faculty of Sciences, University of Rouen
  • 1996-2004: Senior Lecturer, PSI Lab., Faculty of Sciences, University of Rouen
  • 1994-1996: Assistant Lecturer, La3i Lab., Faculty of Sciences, University of Rouen
  • 1992-1994: Research Associate (Ph.D. student) in the Automatic Reading Group of the french company MATRA CAP Systèmes, Paris and with La3i Lab.
  • 1991-1992: Research Student at La3i Lab., University of Rouen and with the french company MATRA MS2i, Paris

Fields of research interest and experience

  • Pattern recognition, image processing, feature definition
  • Statistical classification, clustering, feature selection and extraction, classifier combination and ensembles
  • Off-line handwriting analysis, writer identification, handwritten character and cursive word recognition
  • Automatic reading of bankchecks, postal addresses and full-page handwritten texts
  • Information extraction from and information retrieval of handwritten documents
  • Handwritten document segmentation, complex handwritten document layout analysis and extraction
  • Algorithmical and software optimization, genetic algorithms, multiple agent systems

 

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