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Full Description
This book delves into the history of biometrics, the different systems that have been developed to date, problems that have arisen from these systems, the necessity of AI-based biometrics systems, different AI techniques developed to date (including machine learning, deep learning, natural language processing, and pattern recognition), their potential uses and applications, security and privacy issues in AI-based Biometric systems, current trends in AI-based biometrics, and presents case studies of AI-based biometrics.
Contents
Preface. Introduction to Biometrics. Issues and Challenges in Traditional Biometric Systems. Artificial Intelligence in Biometric Systems. Deep Biometrics: Exploring the Intersection of Deep Learningand Biometric Applications. Security and Privacy Issues in AI-based Biometric Systems. AI-based Fingerprint and Voice Recognition Systems. Biometric Facial Recognition and Ethics. A Cutting-edge Approach with Convolutional NeuralNetworks for Real-time Face Recognition. Access Control Using AI Based Biometric Systems: Case Study. AI Based Biometric Systems in Financial Transactions: Case Study. Need for 3D-Biometric System with AI Based Immersive Technology. Blockchain-based Voting System. Future Directions in Cybersecurity, Digital Forensics and Biometric Systems. Index.