Analysis of Finger Vein Recognition using Deep Learning Techniques

In recent years, security has become increasingly important. Because of its resilience, consistent accuracy, and outstanding performance, the Finger Vein Authentication System has piqued our interest. Other kinds of identification, such as fingerprint and iris biometrics, are less reliable. Because finger veins are unique even for identical twins, exist beneath the skin, and remain intact throughout a person's lifetime, finger vein authentication eliminates the danger of alteration. The identification of finger vein patterns has improved significantly using a variety of deep learning approaches. The main goal of this paper is to show different processes of finger vein authentication, as well as the deep learning methods utilized to construct the Finger Vein Recognition system.