Finger vein recognition received special attention among all other biometric traits due to its
high security. Adequate recognition and classification accuracy ensure the security of …

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 …

This paper presents a new approach to improve the performance of finger-vein identification
systems presented in the literature. The proposed system simultaneously acquires the finger …

Finger-vein biometrics has been extensively investigated for personal verification. Despite
recent advances in finger-vein verification, current solutions completely depend on domain …

In this paper, we propose a new finger biometric method. Infrared finger images are first
captured, and then feature extraction is performed using a modified Gaussian high-pass …

A novel approach using a convolutional neural network (CNN) for finger-vein biometric
identification is presented in this paper. Unlike existing biometric techniques such as …

With recent increases in security requirements, biometrics such as fingerprints, faces, and
irises have been widely used in many recognition applications including door access …

In this paper, we propose a novel method for finger-vein recognition. We extract the features
of the vein patterns for recognition. Then, the minutiae features included bifurcation points …

This paper presents a novel deep learning-based method that integrates a Convolutional
Auto-Encoder (CAE) with support vector machine (SVM) for finger-vein verification. The CAE …

Finger vein is a promising biometric pattern for personal identification in terms of its security
and convenience. However, so residual information, such as shade produced by various …