Titlebook: Biometric Recognition; 16th Chinese Confere Weihong Deng,Jianjiang Feng,Zhaofeng He Conference proceedings 2022 The Editor(s) (if applicabl

FELON

Situating Language Acquisition Planning,ng principle, which can cause the imaging area to shift and the vein texture to vanish. However, the algorithms cannot directly handle these issues because there are no reference images in single-view imaging. To this end, this paper uses three multi-view finger vein imaging methods to capture finge

不持續(xù)就爆

Language Policy and Language Planningayscale stretching are difficult to effectively enhance the vein structure, and it is easy to introduce noise. Therefore, a selective enhancement algorithm for finger vein images based on adaptive guided filtering is proposed. Firstly, a gradient operator weighted guided filter with better edge-pres

委派

Language Policy and Language Planningadopted keypoint descriptors may be insufficient in keypoint quantity and descriptor distinctiveness, since they are generally artificially-designed and sensitive to the poor quality of the finger vein images. To address the above-mentioned problem, an automatically-learned keypoint-based method uti

SHOCK

Language Policy and Language Planningloring multi-modal biometric fusion recognition of fingers is very meaningful for improving the security and stability of finger feature expression. Due to the differences in the expression of different modal features, the interaction mode and fusion strategy between different modalities are the key

COMMA

我不重要