With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …

In Indian banking systems, signatures and faces are the two traits of biometrics that are used
for personal identification. The automation of this identification system requires the use of a …

In recent years biometric identification and verification of human beings based on their
physiological or behavioral characteristics have become a trend in security applications. The …

Despite being reliable, palmprints have not received as much attention as other biometrics
such as fingerprints, face or iris. Amount of information provided by high resolution …

Palmprints have gained enormous popularity in the biometric industry recently. Due to the
large amount of information provided by the palmprints and their forensic value, many large …

In recent years, Fog and edge computing have gained enormous increases and usage of
Internet of Things (IoT) devices in research and development even though it provides …

Biometric authentication is becoming the crucial technology in real world applications, which
includes automation and security. However, the various works are implemented the …

This chapter presents machine learning and deep learning techniques for multimodal
biometrics. Multiple biometrics have been used in this concept to enhance the recognition …

The field of computer vision is characterized by computationally intensive algorithms and
techniques with strict real‐time requirements. Field programmable gate arrays (FPGAs) are …

A cross-database attack in biometric systems is a security attack where attackers attempt to
leverage a compromised target user's template in one database and infer their templates in …