Design and development of a robust (i.e., invariant to translations, rotations, and scale change), non-invasive, and contact-free biometric recognition system, which is able to identify a person from a digital image of the hand acquired by a low-resolution CMOS camera. The system involves a non-linear ordinary differential equation (ODE) aimed at extracting the feature vector, whilst the matching process makes use of the Pearson product-moment correlation coefficient to measure the similarity between the feature vectors.
