Contextual System of Symbol Structural Recognition based on an Object-Process Methodology

Autor: Mathieu Delalandre, Eric Trupin, Jean-Marc Ogier, Jacques Labiche

Publikováno v: ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 5, Iss 2 (2005)

We present in this paper a symbol recognition system for the graphic documents. This one is based on a contextual approach for symbol structural recognition exploiting an Object-Process Methodology. It uses a processing library composed of structural

Externí odkaz: https://doaj.org/article/0abd029b12e64bd3be5a13ca48154fd4

Les interactions homme-machine : la trace en perspective

Autor: Jacques Labiche, Youssouf Saidali, F. Maurel, Eric Trupin, Maryvonne Holzem, Dominique Dionisi, Nathalie Baudouin, Denis Jacquet, S. Mauger, Stéphane Ferrari, J-P. Kotowicz, Nathalie Chaignaud, Pierre Beust

Publikováno v: L’Homme trace ISBN: 9782271071392

Nous concevons ici la trace, a l'instar du poeme d'Antonio Machado, comme un construit chemin faisant, c'est-a-dire dans une tradition ignorante tant du point de vue des sciences de l'information et de la communication3 que de l'informatique et du tr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0d95b1c53c3f6663a6c142eefedc42b2
https://doi.org/10.4000/books.editionscnrs.16689

Building Synthetic Graphical Documents for Performance Evaluation

Autor: Eric Trupin, Mathieu Delalandre, Tony P. Pridmore, Ernest Valveny, Hervé Locteau

Publikováno v: Lecture Notes in Computer Science ISBN: 9783540881841
GREC

In this paper we present a system that allows to build synthetic graphical documents for the performance evaluation of symbol recognition systems. The key contribution of this work is the building of whole documents like drawings or maps. We exploit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6b91aa2c27bbf00cec09f40727607cf2
https://doi.org/10.1007/978-3-540-88188-9_27

A Graph Classification Approach Using a Multi-objective Genetic Algorithm Application to Symbol Recognition

Autor: Hervé Locteau, Romain Raveaux, Sébastien Adam, Eric Trupin, Pierre Héroux, Barbu Eugen

Publikováno v: In Graph-Based Representations in Pattern Recognition, 6th IAPR-TC-15 International Workshop GbRPR 2007, Lecture Notes in Computer Science, Francisco Escolano and Mario Vento Eds., Springer, ISBN: 978-3-540-72902-0
In Graph-Based Representations in Pattern Recognition, 6th IAPR-TC-15 International Workshop GbRPR 2007, Lecture Notes in Computer Science, Francisco Escolano and Mario Vento Eds., Springer, ISBN: 978-3-540-72902-0, 2007, France. pp.361-370
Graph-Based Representations in Pattern Recognition ISBN: 9783540729020
GbRPR

In this paper, a graph classification approach based on a multi-objective genetic algorithm is presented. The method consists in the learning of sets composed of synthetic graph prototypes which are used for a classification step. These learning grap

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2a97844e1feeb81a7978de19ab16d63
https://hal.archives-ouvertes.fr/hal-00361099

Symbol Recognition Combining Vectorial and Statistical Features

Autor: Eric Trupin, Sébastien Adam, Jacques Labiche, Pierre Héroux, Hervé Locteau

Publikováno v: Lecture Notes in Computer Science ISBN: 9783540347118
GREC

In this paper, we investigates symbol representation introducing a new hybrid approach. Using a combination of statistical and structural descriptors, we overcome deficiencies of each method taken alone. Indeed, a Region Adjacency Graph of loops is a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0292cd028a479c7ce7cdc18b303f74fa
https://doi.org/10.1007/11767978_7