Multimodal Finger Feature Fusion and Recognition Based on Delaunay Triangular Granulation

摘要：

　　For personal identification,three modalities of fingers,fingerprint (FP),finger-vein (FV) and finger-knuckle-print (FKP),can be used respectively.Fusing these modalities together as a whole biometric measure should naturally highlight the finger superiority in convenience and universality as well as recognition accuracy improvement.In this paper,a new finger recognition method based on granular computing is proposed.This method can synergistically combine the features of FP,FV and FKP in feature level and provide robustness to finger pose variation.The proposed granular space is constructed in bottom-up manner with three granule-layers.And a coarse-to-fine scheme is used for granule matching.Experiments are performed on a self-built database with three modalities to validate the proposed method in personal identification.

关键词： Multimodal biometrics Finger-knuckle-print Finger-vein Fingerprint Granular computing

作者: Jinjin Peng Yanan Li Ruimei Li Guimin Jia Jinfeng Yang

作者单位: Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China,Tianjin,China

会议类型: 国际会议

会议名称: Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)

会议地点: 长沙

会议语种:英文

页码: 303-310

在线出版日期: 2014-11-01（万方平台首次上网日期，不代表论文的发表时间）