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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(More)
We present a method to correct intensity variations and voxel shifts caused by non-linear gradient fields in magnetic resonance images. The principal sources of distortion are briefly discussed, as well as the methods of correction currently in use. The implication of the gradient field non-linearities on the signal equations are described in a detailed way(More)
Many studies dealing with the human brain use the spatial coordinate system of brain anatomy to localize functional regions. Unfortunately, brain anatomy, and especially cortical sulci, is characterized by a high interindividual variability. Specific tools called anatomical atlases must then be considered to make the interpretation of anatomical(More)
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. Our system uses skin color and hand shape information for hand detection process. Next, the palm is extracted and characterized by circular Gabor filter. Finally, the palm features(More)
The understanding of the background of a malocclusion is essential especially in the cranial field. Statistics reinforce the choice of our cranial landmarks and the main lines of our cranial biometry which is really 3D. It marks the relationships between the cranium and the face. It expresses the relevance of diagnosing and treating under 6 years of age.
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