A new method for the positioning and matching of shape outlines

Authors:
Cecilia Di Ruberto;Marco Gaviano;Andrea Morgera
Affiliations:
University of Cagliari, Dept. of Math. and Comp. Sc., Cagliari, Italy;University of Cagliari, Dept. of Math. and Computer Science, Cagliari, Italy;University of Cagliari, Dept. of Math. and Comp. Sc., Cagliari, Italy
Venue:
AIKED'09 Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Year:
2009

Citing 7
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Abstract

Automatic information retrieval in the field of shape recognition has been widely covered by many research fields. Whichever is the way to represent the objects in images, a recognition method should be robust in the presence of scale change, translation and rotation. In this paper a novel approach to find the optimal correspondence between 2D curves using their intrinsic properties is proposed. The method consists of an alignment process to compare two shapes conveniently modeled. To evaluate the effectiveness of the algorithm, two databases of 216 and 99 images have been used. A performance analysis and comparison is provided by precision-recall curves.