Finger vein detection using gabor filter and region of interest

Abstract

One of the most biometric recognition systems is Finger vein recognition. It affords authentication using veins, which are within the finger of individuals. This technology has the dominance of being defiant to falsification because the vein pattern is hidden inside a finger. In this paper, we present the key problems and feature extraction methods in order to acquaint finger vein recognition research domain. In our proposed method, vein image is subjected to Gabor filter in conjunction with Region of interest during the preprocessing and to efficiently enhance the invisible vein pattern of given image. Observations are present that our proposed could obtain patterns staunchly when vein dimensions and illumination oscillate, and also the experimental errors for personal identification are very low, in comparison with that of traditional methods.