Modeling the Uncertainty in Finger-Vein Authentication by the Gaussian Mixture Model
Hongyu Ren, Da Xiong Xu, Wenxin Li · 2017
The robustness and uniqueness of finger-vein makes it an ideal biometric feature for personal authentication. General finger-vein authentication methods consist of two parts, feature extraction and feature matching. Finger-vein images captured by infrared device are subject to uncertainties caused by various temperature, irregular illumination and finger posture deformation. Uncertainties cause severe artifacts, which make the extracted features unsatisfying and hard to match.