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 …

In the recent times, with an increase in human identity thefts, the fingerprint-based biometric
systems play a significant role in secured authentication and access restrictions. The …

With the increase of biological images, how to classify them effectively is a challenging
problem, the Convolutional Neural Networks (CNNs) show promise for this problem. The …

Parameterized computation theory has developed rapidly over the last two decades. In
theoretical computer science, it has attracted considerable attention for its theoretical value …

Extant literature has highlighted the vulnerability of Automatic Fingerprint Identification
System (AFIS) to various forms of attacks, indicating presentation attack as the most …

Medical images are a critical component of the diagnostic process for clinicians. Although
the quality of medical photographs is essential to the accuracy of a physician's diagnosis …

Intelligent fault diagnosis methods, especially convolutional neural network (CNN), have
made significant progress in gas-insulated switchgear (GIS) partial discharge (PD) …

Fingerprint liveness detection has gained increased attention recently due to the growing
threat of spoof presentation attacks. Among the numerous attempts to deal with this problem …

Fingerprint-based recognition is widely deployed in different domains. However, the
traditional fingerprint recognition systems are vulnerable to presentation attack, which …

The fingerprint-based authentication systems are being extensively deployed as security
tool for providing access to the critical Cyber Physical Systems (CPS). However, this rapid …