Human measures many things consciously or subconsciously by touching and sensing
without any measurable challenges. However, measuring intangible features like human …

While digital ocular fundus images are commonly used for diagnosing ocular tumors,
interpreting these images poses challenges due to their complexity and the subtle features …

Fingerprint classification relies heavily on biometric classification, especially during the
identification phase. Indeed, when working with massive databases, biometric recognition …

The outstand ascent in software computing has expanded the skyline for various
applications to make our life easy in decision making. Among the significant requests …

Automated fingerprint classification is one of the mostly used human identity verification
system. The touchless fingerprint identification and classification system offers a higher user …

Many countries use the AFIS (Automated Fingerprint Identification System) to identify
individuals via their fingerprints. In this system, fingerprint inputs are compared with all the …

Recently, individual biometric characteristics gained a lot of attention and are the heart of
building multiple kinds of security and authenticity systems, such as surveillance, forensic …

The evolution of the Internet has given rise to novel forms of network attacks, underscoring
the importance of investigating methods for detecting anomalous behaviour and accurately …

Currently, machine learning is dominant in feature extraction and classification tasks, and it
has even experienced fierce competition with deep learning. Deep learning, with its high …

Abstract Objectives: The Recent COVID 19 Pandemic has capped the efficacy of the mostly
used existing touch-based fingerprint detection. Hence, the main objective of this study is to …