Hand posture classification by means of a new contour signature

Authors:
Nabil Boughnim;Julien Marot;Caroline Fossati;Salah Bourennane
Affiliations:
Institut Fresnel, D. U. de Saint Jérôme, Marseille, France;Institut Fresnel, D. U. de Saint Jérôme, Marseille, France;Institut Fresnel, D. U. de Saint Jérôme, Marseille, France;Institut Fresnel, D. U. de Saint Jérôme, Marseille, France
Venue:
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Year:
2012

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Abstract

This paper deals with hand posture recognition. Thanks to an adequate setup, we afford a database of hand photographs. We propose a novel contour signature, obtained by transforming the image content into several signals. The proposed signature is invariant to translation, rotation, and scaling. It can be used for posture classification purposes. We generate this signature out of photographs of hands: experiments show that the proposed signature provides good recognition results, compared to Hu moments and Fourier descriptors.