Robustness of finger-vein recognition
Christof Kauba, Andreas Uhl · Institution of Engineering and Technology eBooks · 2018
One of the big issues in biometric recognition is robustness of recognition accuracy against sample signal quality degradation. The performance of a biometric recognition system is usually heavily affected by sample signal quality. A wide variety of factors potentially influence the quality of acquired biometric samples. The different types of features that can be extracted from biometric samples influence the impact of quality degradations on recognition performance in various ways. Moreover, there is interplay among different types of feature extraction and acquisition technology/conditions such that it is not clear a priori which type of feature extraction is favourable under which conditions. Therefore, it is essential to provide reliable methodology to comparatively assess biometric recognition robustness under varying conditions.