Finger-vein Pattern Recognition Based on ICP on Contours

An important step in finger-vein recognition is a proper alignment of the finger vein patterns to be compared. This alignment method is used to handle finger pose variation and to enhance the stability of the finger vein authentication. We proposed the iterative closest point (ICP) method on finger contour for the alignment. After the aligning process, we applied maximum curvature as a vein feature for the comparison without further optimization of the parameters, and we gained a better genuine comparison score. Even though this method is robust to finger pose variations, we have to further verify whether it will impact recognition performance. The experimental results show that the accuracy of the proposed method in verification case is enhanced and increases slightly than the state-of-the-art registration method which is called center line registration. Using ICP for registration resulted in a reduction of the EER to 0.3% (from 0.7% for the centerline registration) and a reduction of the [email protected] to 0.7% (from 2.0% for the centerline registration).