In order to overcome the inherent limitations of single modal fingerprint and finger vein recognition systems, a
second-level decision fusion algorithm based on fingerprint and finger vein dual-mode recognition is proposed. Firstly, two
classifiers are designed for fingerprint and finger vein recognition respectively. Then extracted feature vectors from the first
stage are then concatenated to make the third classifier for second-level decision. Finally, recognition is achieved by the
fusion of the three classifiers’ recognition results at the decision level. Experimental results show that this algorithm not
only overcomes the limitations of single-modal biometrics, but also effectively improves the recognition performance of the
system.