Deep Learning in Biometrics

Author:   Mayank Vatsa (IIIT Delhi, India) ,  Richa Singh (IIIT Delhi, India) ,  Angshul Majumdar
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032653105


Pages:   328
Publication Date:   02 October 2023
Format:   Paperback
Availability:   In Print   Availability explained
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Deep Learning in Biometrics


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Overview

Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics. This book covers topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoencoders. The focus is also on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints, while examining the future trends in deep learning and biometric research. Contains chapters written by authors who are leading researchers in biometrics. Presents a comprehensive overview on the internal mechanisms of deep learning. Discusses the latest developments in biometric research. Examines future trends in deep learning and biometric research. Provides extensive references at the end of each chapter to enhance further study.

Full Product Details

Author:   Mayank Vatsa (IIIT Delhi, India) ,  Richa Singh (IIIT Delhi, India) ,  Angshul Majumdar
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.580kg
ISBN:  

9781032653105


ISBN 10:   1032653108
Pages:   328
Publication Date:   02 October 2023
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction to Deep Learning. Fast Deep Learning Architechtures. Multispectral Face Recognition with Deep Learning. Deep Matric Learning. Unconstrained Face Recognition with Deep Learning. 3D Face Processing with Deep Learning. Kinship Recognition with Deep Learning. Ocular Recognition with Deep Learning. Fingerprint Recognition with Deep Learning. Multispecteal iris Recognition with Deep Learning.

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Author Information

Mayank Vatsa is an Associate Professor at IIIT New Delhi. He has authored more than 150 publications dealing with biometrics, image processing, machine learning and information fusion. He is a Senior Member of IEEE. Richa Singh is an Associate Professor at IIIT New Delhi. She has authored over 100 publications on biometrics, patter recognition and machine learning in referred journals, book chapters and conferences. Angshul Majumdar is an Assistant Professor at IIIT New Delhi. He is an active research in biomimetics and machine learning.

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