Laurent HEUTTE

Curriculum Vitae

Short Bio

Laurent Heutte (30/5/1964) received his Ph.D. degree in Computer Science from the University of Rouen, France, in 1994. During his thesis (1992-1994), he worked on handwritten character recognition and was involved in several research projects on the automatic reading of french postal checks and US postal addresses with the Automatic Reading Group of the french company MATRA CAP Systèmes, Paris. 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. Laurent Heutte's present research interests are multiple classifier combination, unconstrained cursive handwriting recognition and contextual information modelling with application to general handwritten text automatic reading.

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

• Feature definition, feature selection, feature extraction
• Clustering, statistical classification, multiple classifier systems
• Off-line handwriting analysis, handwritten character and cursive word recognition
• Automatic reading of bankchecks, postal addresses and full-page handwritten texts
• Algorithmical and software optimization, genetic algorithms