9783319616568 - deep learning for biometrics (advances in computer vision and pattern recognition) (2 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2017
Serie: Advances in Computer Vision and Pattern Recognition, Buch 64 von 86. Buch 64 von 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
- Erstausgabe
Anbieter: SpringBooks, Berlin, DeutschlandSpringBooks
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EUR 58,75
EUR 39,90 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Hardcover. Zustand: As New. 1. Auflage. Unread, like new. Immediately dispatched from Germany.
Sprache: Englisch
Verlag: Springer International Publishing, 2017
Serie: Advances in Computer Vision and Pattern Recognition, Buch 64 von 86. Buch 64 von 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 181,89
EUR 63,72 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 convolu…tional 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 modalities; revisits deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches forgesture-based identification, gender classification, and tattoo recognition; investigates deep learning for biometrics security, covering biometrics template protection methods, and liveness detection to protect against fake biometrics samples; presents contributions from a global selection of pre-eminent experts in the field representing academia, industry and government laboratories.Providing both an accessible introduction to the practical applications of deep learning in biometrics, and a comprehensive coverage of the entire spectrum of biometric modalities, this authoritative volume will be of great interest to all researchers, practitioners and students involved in related areas of computer vision, pattern recognition and machine learning.
