Full Description
This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as cancellable biometrics and soft biometrics. The book also focuses on several emerging topics such as big data issues, internet of things, medical biometrics, healthcare, and robot-human interactions. The authors show how these new applications have triggered a number of new biometric approaches. They show, as an example, how fuzzy extractor has become a useful tool for key generation in biometric banking, and vein/heart rates from medical records can also be used to identify patients. The contributors cover the topics, their methods, and their applications in depth.
Contents
Introduction.- Part I - New Methods in Biometrics.- Deep Biometrics: A Robust Approach to Biometrics in Big Data Issues.- Multimodal Biometric Fusion via Ensemble Learning.- Fuzzy Logic for Precise Biometric Systems.- Hierarchical Biometric Verification with Sparse Features.- Dynamic Programming for Biometric Verification.- Part II - New Advances in Various Biometric Technologies.- Paleographic Handwriting Analysis for Author Identification.- Palmprints versus Fingerprints: Rivals or Friends?.- A Survey on Soft Biometrics for Forensic Analysis.- Robust Biometric Verification with Low Quality Data.- Streamed Biometric Verification for Big Data Challenge.- Privacy-Protected Biometric Verification for Security Applications.- Part III - New Applications using Biometrics.- Biometric Key Generation using Fuzzy Extractor for Mobile Banking.- Securing Electronic Medical Records Using Biometric Authentication.- Body Biometrics from MRI Images for Medicine Advice.- Identify Invisible Persons in Social Network.- From Memory to Human Recognition in Cognitive Robots.
