Enhancing Biometric Security with Artificial Intelligence: A Cutting-Edge Approach

Abstract

Biometric security has emerged as a critical component in safeguarding digital assets, physical spaces, and personal information. This research paper provides a comprehensive review of the intersection between biometrics and artificial intelligence (AI), aiming to explore the latest advancements, challenges, and prospects in this dynamic field. The paper begins by introducing the fundamental concepts of biometrics and AI, highlighting their symbiotic relationship in enhancing security protocols. It delves into the various biometric modalities, including facial recognition, fingerprinting, iris scanning, vital sign, psychological and voice recognition, and examines how AI techniques have transformed the accuracy and robustness of these methods. Special attention is given to the developments in deep learning algorithms, neural networks, and convolutional neural networks (CNNs), which have revolutionized biometric authentication by enabling feature extraction, pattern recognition, and anomaly detection with unprecedented precision.