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Machine Learning for Biometrics

Concepts, Algorithms and Applications

Bhabani Shankar Prasad Mishra editor Partha Pratim Sarangi editor Madhumita Panda editor Subhashree Mishra editor Banshidhar Majhi editor

Format:Paperback

Publisher:Elsevier Science & Technology

Published:24th Jan '22

Should be back in stock very soon

Machine Learning for Biometrics cover

Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can be adopted in this direction. Each chapter of the volume is supported by real-life case studies, illustrative examples and video demonstrations. The book elucidates various biometric concepts, algorithms and applications with machine intelligence solutions, providing guidance on best practices for new technologies such as e-health solutions, Data science, Cloud computing, and Internet of Things, etc. In each section, different machine learning concepts and algorithms are used, such as different object detection techniques, image enhancement techniques, both global and local feature extraction techniques, and classifiers those are commonly used data science techniques. These biometrics techniques can be used as tools in Cloud computing, Mobile computing, IOT based applications, and e-health care systems for secure login, device access control, personal recognition and surveillance.

ISBN: 9780323852098

Dimensions: unknown

Weight: 430g

264 pages