Description: Deep Learning for Biometrics Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Bir Bhanu, Ajay Kumar Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319871288, 978-3319871288 Synopsis 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.
Price: 125.24 GBP
Location: Aldershot
End Time: 2024-12-03T09:02:30.000Z
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Book Title: Deep Learning for Biometrics
Number of Pages: 312 Pages
Language: English
Publication Name: Deep Learning for Biometrics
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Engineering & Technology, Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 5838 g
Type: Textbook
Author: Bir Bhanu, Ajay Kumar
Series: Advances in Computer Vision and Pattern Recognition
Item Width: 155 mm
Format: Paperback