Finger-vein matching based on adaptive vector field estimation
Jinfeng Yang, Meijing Wu, Wanyin Wang, Yihua Shi · 2012
In this paper, a new finger-vein vector field estimation method is proposed for the primitive finger-vein feature representation. First, a set of spatial curve filters (SCFs) is built based on a variable curve model in curvature and orientation. To make SCFs adaptive to vein-width variations, a curve length field (CLF) estimation method is then proposed. Next, with the CLF constrain, a vein vector field is established for finger-vein feature description. Finally, finger-vein matching performance is evaluated using Phase-Only-Correlation (POC) measure. Experimental results show that the proposed method is highly powerful in improving finger-vein matching accuracy.