Description: Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics. This book covers topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoencoders. The focus is also on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints, while examining the future trends in deep learning and biometric research. Contains chapters written by authors who are leading researchers in biometrics. Presents a comprehensive overview on the internal mechanisms of deep learning. Discusses the latest developments in biometric research. Examines future trends in deep learning and biometric research. Provides extensive references at the end of each chapter to enhance further study.
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EAN: 9781138578234
UPC: 9781138578234
ISBN: 9781138578234
MPN: N/A
Book Title: Deep Learning in Biometrics by Mayank Vatsa [Hardb
Item Length: 23.4 cm
Number of Pages: 316 Pages
Language: English
Publication Name: Deep Learning in Biometrics
Publisher: Taylor & Francis Ltd
Publication Year: 2018
Subject: Computer Science
Item Height: 234 mm
Item Weight: 590 g
Type: Textbook
Author: Mayank Vatsa, Richa Singh, Angshul Majumdar
Subject Area: Mechanical Engineering
Item Width: 156 mm
Format: Hardcover