PhD Thesis

[stefan knerr]

PhD Studentship in Document Image Processing

               Department of Image and Video Processing
                  University Nantes - IRESTE, France


DOCUMENT IMAGE MODELING AND SEGMENTATION USING STATISTICAL 2-D
APPROACHES


Early processing stages of document analysis systems such as the
localization and segmentation of text fields, logos, graphics, lines,
etc. usually rely on heuristic methods or must be defined by hand. The
goal of this thesis is to elaborate a principled approach to these
problems based on statistical approaches such as Markov Random Fields
and 2-D Hidden Markov Models.

This is an exciting opportunity to work on a real world problem within
an environment which includes an industrial partner as well as a
University research lab. Several possibilities for financing a 3 year
PhD work exist depending on the qualification and on the nationality
of the candidate.

Interested candidates should send a CV, related publications or
reports, names and addresses of one or two persons (professor,
lecturer) or companies who will recommend you to:

                   Stefan Knerr (sknerr at ireste.fr)
                               or
                   Christian Viard-Gaudin (cviard at ireste.fr)

                   IRESTE
                   Rue Christian Pauc, La Chantrerie, BP 60601
                   44306 Nantes Cedex 3
                   France

Applications should arrive before Mai 31, 1998.

-- 
                     Stefan Knerr
                Laboratoire SEI, IRESTE
       Rue Christian Pauc, La Chantrerie, BP 60601
             44306 Nantes Cedex 3, France
         Tel. +33 2 40683036 Fax. +33 2 40683066
                   sknerr at ireste.fr