期刊名称:Lecture Notes in Engineering and Computer Science
印刷版ISSN:2078-0958
电子版ISSN:2078-0966
出版年度:2018
卷号:2231&2232
页码:90-94
出版社:Newswood and International Association of Engineers
摘要:The widespread success of various biometric
recognition systems has contributed to extensive exploration of
new biometric modalities, expanding upon traditional
fingerprint metrics. Finger-vein is one of the latest biometric
traits that has attracted researchers because it promises to be
an effective and reliable modality for implementation in
biometric authentication systems. In this paper, a review of the
current literature on finger-vein biometric authentication is
given with the objective of finding out what features,
classifiers, and methodologies are utilized by researchers in
implemented systems. We find that vein pattern is the most
widely used feature for finger-vein recognition. Also, in terms
of usage, the hamming distance and Euclidean distance
dominate as preferences over other finger-vein classifiers.
Furthermore, in previous research in the finger vein
authentication systems, there is a lack of comprehensive
extraction and combined testing of all finger vein features.
Based on this, we will develop the new finger vein
authentication systems.
关键词:Biometrics; Authenticating; Finger;vein;
Features extraction; Classification;