Contactless Hand Recognition Based on Distribution Estimation

Julien Doublet (1, 2) , Olivier Lepetit (1) , Marinette Revenu (2)

1 FT R&D - France Télécom Recherche & Développement
2 Equipe Image - Laboratoire GREYC - UMR6072

More and more research have been developed very recently for automatic hand recognition. This paper proposes a new method for contactless hand authentication in complex images with low cost devices. Our system uses skin color and hand shape information for hand detection process. Next, the palm is extracted and characterized by a bank of Gabor filters. Finally, the palm features are compared with a distribution estimation given an optimal discrimination. The experimental results present an error rate lower than 1.7% with a population of 49 people.

Mots clés: Gabor filters; biometrics (access control); feature extraction; image colour analysis; image recognition; Gabor filter; automatic hand recognition; contactless hand

Domaines: Traitement des images [eess.IV]

Julien Doublet, Olivier Lepetit, Marinette Revenu. Contactless Hand Recognition Based on Distribution Estimation. Biometrics Symposium, 2007, 2007, Baltimore, United States. 6p., ⟨10.1109/BCC.2007.4430547⟩. ⟨hal-01071655⟩