Biometric identification is the study of physiological and behavioral attributes of an individual
to overcome security problems. Finger vein recognition is a biometric technique used to …

This paper aims to provide a brief review of the feature extraction methods applied for finger
vein recognition. The presented study is designed in a systematic way in order to bring light …

As the second generation of biometric technology, finger vein recognition has become a
research hotspot due to its advantages such as high security, and living body recognition. In …

In the present society with quick outgrowth in electronic field info innovation, the security
issue became important demand. Because of this truth, biometric verification has earned …

The Finger-vein recognition (FVR) method has received increasing attention in recent years.
It is a new method of personal identification and biometric technology that identifies …

Finger vein is deemed to be a promising biological trait for individual identification. However,
partially due to non-uniform collection devices and non-standard collection process, original …

A new system for finger-vein recognition is proposed based on the Complete Local Binary
pattern (CLBP) as afeature extractor and the Phase Only Correlation (POC) for post …

For long ago, biometric authentication has been performed for high-security applications like
bank lockers, private places. Here studies made on the physiological attributes of an …

The vein recognition is the most accurate and secure technology in the field of biometrics.
We have seen that many criminal cases like risk of forgery or theft. All biometric traits have …

In this paper, a system based on image descriptor and Local Histogram Concatenation
(LHC) for finger vein recognition is introduced. The LHC of image descriptors such as LBP …