Read e-book online Deep Learning for Biometrics (Advances in Computer Vision PDF

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By Bir Bhanu,Ajay Kumar

ISBN-10: 3319616560

ISBN-13: 9783319616568

This well timed text/reference offers a extensive review of complicated deep studying architectures for studying potent characteristic illustration for perceptual and biometrics-related projects. The textual content bargains a show off of state-of-the-art learn at the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric platforms, as well as surveillance structures that use smooth biometrics. problems with biometrics safeguard also are examined.

Topics and lines: addresses the appliance of deep studying to reinforce the functionality of biometrics identity throughout quite a lot of diverse biometrics modalities; revisits  deep studying for face biometrics, delivering insights from neuroimaging, and offers comparability with well known CNN-based architectures for face acceptance; examines deep studying for cutting-edge latent fingerprint and finger-vein acceptance, in addition to iris attractiveness; discusses deep studying for tender biometrics, together with techniques for gesture-based id, gender class, and tattoo acceptance; investigates deep studying for biometrics safeguard, protecting biometrics template security equipment, and liveness detection to guard opposed to pretend biometrics samples; offers contributions from an international number of pre-eminent specialists within the box representing academia, and executive laboratories.

Providing either an obtainable creation to the sensible functions of deep studying in biometrics, and a entire assurance of the full spectrum of biometric modalities, this authoritative quantity could be of serious curiosity to all researchers, practitioners and scholars taken with similar components of laptop imaginative and prescient, development popularity and computer learning.

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Deep Learning for Biometrics (Advances in Computer Vision and Pattern Recognition) by Bir Bhanu,Ajay Kumar


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