Deep Learning for Biometrics
This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined.Topics and features:Addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalitiesRevisits deep learnin…
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Produktdetails
Weitere Autoren: Kumar, Ajay (Hrsg.)
- ISBN: 978-3-319-61656-8
- EAN: 9783319616568
- Produktnummer: 23063384
- Verlag: Springer Nature EN
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Seitenangabe: 312 S.
- Masse: H23.5 cm x B15.5 cm 7'011 g
- Auflage: 1st ed. 2017
- Abbildungen: schwarz-weiss Illustrationen, farbige Illustrationen, Tabellen, farbig
- Gewicht: 7011
- Sonstiges: Research
Über den Autor
Dr. Bir Bhanu is Bourns Presidential Chair, Distinguished Professor of Electrical and Computer Engineering and the Director of the Center for Research in Intelligent Systems at the University of California at Riverside, USA. Some of his other Springer publications include the titles Video Bioinformatics, Distributed Video Sensor Networks, and Human Recognition at a Distance in Video. Dr. Ajay Kumar is an Associate Professor in the Department of Computing at the Hong Kong Polytechnic University.
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