Deep Learning in Biometrics (Hardcover)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	March 2018
First published:	2018
Editors:	Mayank Vatsa • Richa Singh • Angshul Majumdar
Dimensions:	234 x 156 x 23mm (L x W x T)
Format:	Hardcover
Pages:	316
ISBN-13:	978-1-138-57823-4
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	1-138-57823-1
Barcode:	9781138578234

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