Fast and Robust Recognition of Orbit and Sinus Drawings Using Histograms of Forces

Laurent Wendling 1 Salvatore Tabbone 1 Pascal Matsakis
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We show in this paper that the notion of the histogram of forces can also be useful in pattern recognition. The aim of this study is to classify drawings of orbits and sinuses. The use of histograms of force instead of geometrical criteria (like compactness or degree of ellipticity) performs a more accurate classification. Furthermore, the proposed approach has a low computing time.
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Article dans une revue
Pattern Recongition Letters, 2002, 23 (14), pp.1687-1693
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https://hal.inria.fr/inria-00100804
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Soumis le : mardi 26 septembre 2006 - 14:51:07
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59

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  • HAL Id : inria-00100804, version 1

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Laurent Wendling, Salvatore Tabbone, Pascal Matsakis. Fast and Robust Recognition of Orbit and Sinus Drawings Using Histograms of Forces. Pattern Recongition Letters, 2002, 23 (14), pp.1687-1693. 〈inria-00100804〉

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