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Communication Dans Un Congrès Année : 2006

Contact less Hand Recognition using shape and texture features

Résumé

The hand recognition in biometric security was developed successfully for authentication or identification. In this paper, we propose an original method of contact less biometric recognition combining information from color, texture and form. First of all, the segmentation integrates the skin color components and a form model. Then, the authentication process amalgamates by convolution the geometrical characteristics of the fingers and the texture of the analyzed palm. The experimental results show an error recognition rate lower than 2% within a population of 16 people.
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Dates et versions

hal-00801968 , version 1 (18-03-2013)

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Julien Doublet, Olivier Lepetit, Marinette Revenu. Contact less Hand Recognition using shape and texture features. 8th International Conference on Signal Processing, Nov 2006, Guilin, China. 4 p., ⟨10.1109/ICOSP.2006.345881⟩. ⟨hal-00801968⟩
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