Pre-processing cascades and fusion in finger vein recognition

Abstract

Preprocessing and fusion techniques for finger vein recognition are investigated. An experimental study involving a set of preprocessing approaches shows the importance of selecting the appropriate single technique and the usefulness of cascading several different preprocessing methods for subsequent feature extraction of various types. Score level fusion is able to significantly improve recognition results, in particular when combining features describing complementary finger image properties.