Biometric technology is rapidly growing due to the urgent need to secure people's
properties, from goods to information, in the overwhelming digital technology proliferation in …

Human identity recognition is one of the key mechanisms of ensuring proper information
access to individuals. It forms the basis of many government, social, consumer, financial and …

The last three decades have seen a shift and impressive progress in the biometric
technologies landscape. Several major real‐world applications of biometrics have been …

Biometrics offers greater security and convenience than traditional methods of personal
recognition. In some applications, biometrics can replace or supplement the existing …

Protecting privacy and security are some of the major challenges in today's society. Herein,
we point out various forms of biometric security systems and how they work. This research …

Today, deep learning represents the most popular and successful form of machine learning.
Deep learning has revolutionised the field of pattern recognition, including biometric …

Automatic decision-making, especially when dealing with crucial cybersecurity and privacy
issues, has become one of the key directions in digital identity research. Trustworthy human …

Biometric systems identify individuals based on unique traits such as the face, fingerprints,
iris etc. The main objective of the study is to understand the role of deep learning in the …

Biometrics in modern computer science is defined as the automated use of biological
properties to identify individuals. The early use of biometrics can be dated back to nearly …

Over the past two decades, biometric recognition has exploded into a plethora of different
applications around the globe. This proliferation can be attributed to the high levels of …