Semantic-based segmentation (Semseg) methods play an essential part in medical imaging
analysis to improve the diagnostic process. In Semseg technique, every pixel of an image is …

With the recent success of computer vision and deep learning, remarkable progress has
been achieved on automatic personal recognition using vein biometrics. However, collecting …

Defect detection in the textile industry is an important and demanding task. Traditional
methods rely on manual inspection, which is costly and damaging to the fabric. The deep …

Recently, finger vein sensors have been embedded in all kinds of electronic devices for
personal identification, such as intelligent door locks and attendance machines. The …

Using deep learning to improve the performance of finger vein recognition has become a
part of mainstream research. Currently, the performance of finger vein recognition systems is …

Biometric technology, including finger vein, fingerprint, iris, and face recognition, is widely
used to enhance security in various devices. In the past decade, significant progress has …

Digital watermarking can be used to ensure the authenticity and copyright protection of
images. In watermarking balancing the trade-offs between its features is an important issue …

Compared to other biometric features, finger vein depicts vascular topology including some
long-distance vascular and local textures and has received much attention for their …

The automated extraction of critical information from electronic medical records, such as
oncological medical events, has become increasingly important with the widespread use of …

Finger vein recognition is a promising biometric authentication technique that depends on
the unique features of vein patterns in the finger for recognition. The existing finger vein …