This book provides an in-depth overview of artificial intelligence and deep learning
approaches with case studies to solve problems associated with biometric security such as …

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 …

Deep Learning is now synonymous with applied machine learning. Many technology giants
(eg Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based …

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 …

Biometrics, such as fingerprint, iris, face, hand print, hand vein, speech and gait recognition,
etc., as a means of identity management has become commonplace nowadays for various …

Nowadays, there is a strong interest by governments, organizations, and companies across
the world in adopting and using forensic tools and biometric technologies to address issues …

Many societal entities now have more excellent standards for the efficacy and dependability
of identification systems due to the ongoing advancement of computer technology …

Biometric authentication is getting privileged as it allows authentication of a legitimate user
without entering a personal identification number or password. Only a glance of any physical …

Biometric authentication is currently one of the most attractive authentication methodologies,
as it is very user friendly and is the most secure option for consumer grade mobile device …

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