Deep Learning for Biometrics

Name: Deep Learning for Biometrics
Brand: Springer International Publishing AG
SKU: 9783319616568
Price: 935.81 RON
Availability: InStock

Autor: Bir Bhanu, Ajay Kumar

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Legare: Copertă tare

Editura: Springer International Publishing AG

Disponibilitate: În depozitul extern

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This timely text/reference presents a broad overview of advanced deep learning architectures for lea...

Informații despre carte

Autor

Bir Bhanu, Ajay Kumar

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2017

Pagini

312

EAN

9783319616568

ISBN

3319616560

Enbook ID

16380791

Editura

Springer International Publishing AG

Greutate

7011

Dimensiuni

155 x 235 x 22

Descriere completă

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 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 for gesture-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.

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