In the Internet-of-Things (IoT) era, user authentication is essential to ensure the security of
connected devices and the customization of passive services. However, conventional …

Finger-vein-based biometric technology has received wide attention and has made some
positive achievements in improving the performance of personal identification. This article …

Even though the deep neural networks have strong feature representation capability and
high recognition accuracy in finger vein recognition, the deep models are computationally …

Vein pattern-based methods have powerfully promoted the performance of finger vein
recognition. However, it is not easy to precisely extract vein patterns from images, especially …

Finger vein recognition is one of a new biometric recognition technology, which has a wide
range of applications in daily life. However, the quality of finger vein images is less than …

Multi-view finger-vein recognition technology has attracted increasing attentions in recent
years. Despite recent advances in the multi-view finger-vein identification, existing solutions …

Finger vein biometrics is becoming an important source of human authentication due to its
advantages in terms of liveness detection, high security, and user convenience. Although …

Vein biometrics is a high-security and privacy-preserving identification technology that has
received increasing attentions. Although deep neural networks (DNNs), such as …

Most multi-modal biometric systems use multiple devices to capture different traits and
directly fuse multi-modal data while ignoring correlation information between modalities. In …

Authentication systems play an essential role in our lives today. Human biological,
behavioral, and morphological characteristics are usually used in an authentication system …