Rohit Raja

By Rohit Raja, Hiral Raja, RajKumar Patra, Kamal Mehta, Akanksha Gupta and Kunta Ramya Laxmi

This research aims to examine the scientific study related to fingerprint patterns and brains lobes. Generally, this method is used to find and develop the inborn potential and personality especially of children. Every person is having inborn potential and personality, which will help us to analyze strength and weakness. The present work is based only on the analysis and used as a reference for scientific research in the field of Galtian and statistical study conducted based on the fingerprint processing. Human brain is divided into two parts, left hemispheres and right hemispheres. Fingers of right hand represent the functions of left brain and fingers of left hand represent the functions of right brain. Human brain is divided into 10 lobes and each lobe is related with each finger. Each lobe represents different intelligences. A detailed analysis of the fingerprint would help the researchers to find the inborn talents. It will provide them the most appropriate learning habits from young age and improve learning ability effectively. The vital factor of an individual’s intelligence is determined by neural network connection of brain cells. Cognitive science is the scientific study that will help you to know about yourself.

Part of the book: Biometric Systems

By Shrikant Tiwari, Rohit Raja, Ramesh S. Wadawadagi, Kanchan Naithani, Hiral Raja and Deepika Ingle

Biometric authentication systems play a pivotal role in ensuring security and user convenience across diverse domains, and with technological advancements, there is a burgeoning interest in exploring emerging biometric modalities to enhance authentication effectiveness. This chapter provides a comprehensive overview of such modalities, beginning with the exploration of iris recognition as a reliable and unique biometric. The text delves into advancements like multi-sensor fusion and deep learning algorithms, addressing challenges related to occlusion and non-cooperative scenarios. The chapter introduces gait recognition as a non-intrusive biometric modality, discussing recent algorithmic advancements and challenges associated with variations in clothing, footwear, and walking speed. Behavioral biometrics, enabling continuous authentication, are explored, covering traits like keystroke dynamics, mouse dynamics, and signature dynamics. Challenges concerning user acceptance and system performance are analyzed, and techniques to enhance reliability are examined. Furthermore, the chapter delves into fusion techniques for integrating multiple biometric modalities, discussing the advantages and limitations of score-level fusion and decision-level fusion. Challenges related to interoperability, compatibility, and scalability are addressed, underscoring the importance of effective integration strategies. Privacy and security considerations are explored, with a focus on techniques such as template protection and biometric encryption to safeguard biometric data. The text also covers measures against spoofing attacks, presentation attacks, and other security vulnerabilities, emphasizing the significance of continuous research and development efforts in advancing biometric authentication systems. It stresses the need to consider privacy, security, and usability aspects while integrating emerging biometric modalities, highlighting the potential for robust and efficient authentication systems in the future through a thoughtful understanding of challenges and leveraging advancements.

Part of the book: Online Identity - An Essential Guide