Palm veins biometrics using Radon transform
Résumé
In this paper, a new biometric method based on palm veins recognition is developed. The main goal is to study the possibility of a contactless identification of individuals by using a sequence of palm veins images captured by a camera in the near infrared. This method is based on radon transform for features extraction and radial basis function RBF for classification and identification. This approach shows that the palm veins pattern is unique for each individual and encouraged results shown the good performance of the radon transform and the RBF network for classification.