ML-Based Finger-Vein Biometric Authentication and Hardware Implementation Strategies

Abstract

The industrial world is facing swiftly changing challenges, including technical fluctuations, swings in global markets, and climate change. Digitalization and automation are the game changers to meet these challenges. Machine learning has made an impact on the area attributed to microchips, and it is initially used in automation. These practices will ultimately succeed the current VLSI design. A biometric authentication system is a form of biometric verification system that uses finger vein detection for biometric check framework. Consumer electronics development necessitates high security, high accuracy, and fast authentication speed. Since it presents the elements inside the human body, finger vein validation is a prominent technique in terms of security. Furthermore, it has a fair advantage over other personal authentication methods because to its contactless aspect. The main goal of the chapter is to provide a solution using machine learning for finger vein authentication and implementation using VLSI design.