Open AccessFinger Vein Image Enhancement Based on Guided Tri-Gaussian Filters
Author(s) -
Liping Zhang,
Xinran Wang,
Xianlin Dong,
Linjun Sun,
Weiwei Cai,
Xin Ning
Publication year - 2021
Publication title -
asp transactions on pattern recognition and intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2788-6743
DOI - 10.52810/tpris.2021.100012
Subject(s) - artificial intelligence , computer vision , computer science , image (mathematics) , segmentation , gaussian , image segmentation , vein , pattern recognition (psychology) , medicine , physics , surgery , quantum mechanics
In the process of image acquisition, the contrast between veins and non-veins in finger vein images is not high due to the influence of the fuzzy light source, skin scattering and finger movement. To solve this problem, a finger vein image enhancement method is proposed (GTGFs), which enhances finger vein patterns by setting guided image as input image firstly. On this basis, the tri-Gaussian model is based on disinhibitory properties of the concentric receptive field used to locally enhancing the image. The parameters of the tri-Gaussian model are determined based on the finger vein width information. The experiment results show that the proposed enhancement method can significantly enhance the finger vein patterns and improve the recognition effect of the methods based on vein pattern segmentation.