Robust Hybrid Finger Pattern Identification Using Intersection Enhanced Gabor Based Direction Coding

Wenming YANG  Wenyang JI  Fei ZHOU  Qingmin LIAO  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E99-D   No.10   pp.2668-2671
Publication Date: 2016/10/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2016EDL8074
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
Keyword: 
finger vein identification,  multi-feature infrared finger pattern,  vascular biometrics,  finger dorsal textures,  

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Summary: 
Automated biometrics identification using finger vein images has increasingly generated interest among researchers with emerging applications in human biometrics. The traditional feature-level fusion strategy is limited and expensive. To solve the problem, this paper investigates the possible use of infrared hybrid finger patterns on the back side of a finger, which includes both the information of finger vein and finger dorsal textures in original image, and a database using the proposed hybrid pattern is established. Accordingly, an Intersection enhanced Gabor based Direction Coding (IGDC) method is proposed. The Experiment achieves a recognition ratio of 98.4127% and an equal error rate of 0.00819 on our newly established database, which is fairly competitive.