Mayank (Hrsg.) Vatsa

Deep Learning in Biometrics

Ebook (PDF Format)

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… Mehr

CHF 56.75

Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)

Versandfertig innerhalb 1-3 Werktagen
Versandkostenfrei

Produktdetails

Weitere Autoren: Singh, Richa (Hrsg.) / Majumdar, Angshul (Hrsg.)

ISBN: 978-1-351-26499-0
EAN: 9781351264990
Produktnummer: 26594947
Verlag: Taylor & Francis Ltd.
Sprache: Englisch
Erscheinungsjahr: 2018
Seitenangabe: 328 S.
Plattform: PDF
Masse: 17'783 KB
Auflage: 1. Auflage
Abbildungen: 96 schwarz-weiße Abbildungen, 57 schwarz-weiße Tabellen

Über den Autor

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.