Boundary Shape Recognition Using Accumulated Length and Angle Information

Marçal Rusiñol 1 Philippe Dosch 2 Josep Lladós 1
1 CVC - Computer Vision Center (Centre de visio per computador)
2 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper we present a method to recognize shapes by analyzing a polygonal approximation of their boundaries. The method is independent of the used approximation method since its recognition strategy does not rely on the number of segments composing the shape. Length and turning angle information are extracted from the chain of segments. The comparison method is invariant to scale, translation and some occlusions of the extracted contour. A simple pre-processing method, also based on arc-length features, is presented to be used as a coarse fitting method to determine angle rotation and as a first filter to eliminate non pertinent candidates.
Keywords : boundary shape symbol recognition shape matching
Type de document :
Communication dans un congrès
Joan Martí, José Miguel Benedí, Ana Maria Mendonça and Joan Serrat. Third Iberian Conference on Pattern Recognition and Image Analysis - IbPRIA 2007, Jun 2007, Girona, Spain. Springer-Verlag, 4478 (4478), pp.210-217, 2007, Lecture Notes in Computer Science. 〈10.1007/978-3-540-72849-8_27〉
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Contributeur : Philippe Dosch <>
Soumis le : mardi 17 juillet 2007 - 07:00:01
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59
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Marçal Rusiñol, Philippe Dosch, Josep Lladós. Boundary Shape Recognition Using Accumulated Length and Angle Information. Joan Martí, José Miguel Benedí, Ana Maria Mendonça and Joan Serrat. Third Iberian Conference on Pattern Recognition and Image Analysis - IbPRIA 2007, Jun 2007, Girona, Spain. Springer-Verlag, 4478 (4478), pp.210-217, 2007, Lecture Notes in Computer Science. 〈10.1007/978-3-540-72849-8_27〉. 〈inria-00142213〉

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