Deep Biometrics

Deep Biometrics

Book Description
This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it “Deep Biometrics”. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big biometric data, biometric banking, medical biometrics, healthcare biometrics, and biometric genetics, etc. The goal of this volume is to summarize the recent advances in using Deep Learning in the area of biometric security and privacy toward deeper and wider applications. Highlights the impact of deep learning over the field of biometrics in a wide area;Exploits the deeper and wider background of biometrics, such as privacy versus security, biometric big data, biometric genetics, and biometric diagnosis, etc.;Introduces new biometric applications such as biometric banking, internet of things, cloud computing, and medical biometrics.


Using Age Information as a Soft Biometric Trait for Face Image Analysis
Person Re-identification with Soft Biometrics Through Deep Learning
Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis
Anti-Spoofing in Face Recognition: Deep Learning and Image Quality Assessment-Based Approaches
Deep Learning for Biometric Face Recognition: Experimental Study on Benchmark Data Sets
Deep Learning Models for Face Recognition: A Comparative Analysis
Developing Cloud-Based Intelligent Touch Behavioral Authentication on Mobile Phones
Constellation-Based Deep Ear Recognition
Person Retrieval in Surveillance Videos Using Deep Soft Biometrics
Deep Spectral Biometrics: Overview and Open Issues
Biometric Blockchain: A Secure Solution for Intelligent Vehicle Data Sharing
Optical Flow Estimation with Deep Learning, a Survey on Recent Advances
The Rise of Data-Driven Models in Presentation Attack Detection

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