Unsupervised Categorization of Heterogeneous Text Images Based on Fractals

Autor: R. Mullot, M.A. Alimi, B. Khelifi, Nizar Zaghden

Publikováno v: international conference on pattern recognition
International conference on Pattern Recognition
International conference on Pattern Recognition, Dec 2008, Tampa, United States. pp.1-4,INSPEC Accession Number: 10444373
ICPR

04; International audience; This paper deals about text extraction from heterogeneous documents for categorizing documents and indexing tasks. The purpose of this work is to find similar text regions basing on their fonts. First text regions are extr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e668efb0f5a51d2ae8f5bb3ad33139b
https://hal.archives-ouvertes.fr/hal-00442113

Human visual perception principles may be used to build intelligent pattern recognition softwares: application to French map interpretation

Autor: R. Mullot, J. Caston, R. Kocik, J. Labiche, P. Santraine, J.M. Ogier

Publikováno v: Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication.

This paper deals with a cadastral map interpretation device. Our approach to solve this problem is based on vectorizing the image by extracting the lowest information level. It then reconstructs real cadastral entities, such as parcels, hatched parce

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e62c2ce5c0b674802915dae84bf1f0a0
https://doi.org/10.1109/roman.1993.367735

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Similitude invariant pattern recognition on technical documents

Autor: Jean-Marc Ogier, J. Gardes, S. Adam, R. Mullot, Claude Cariou, Yves Lecourtier

Publikováno v: Scopus-Elsevier
ICIP (1)

The problem of geometric invariant pattern recognition is addressed. Specifically, we investigate the use of the Fourier-Mellin Transform (FMT) for the recognition of characters and symbols on technical documents, issued from technical paper maps of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4257029b9414c5dbc0a03f764fd983e4
http://www.scopus.com/inward/record.url?eid=2-s2.0-0033352666&partnerID=MN8TOARS