CRC Press - New Directions In Behavioral Biometrics (2017 EN)

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    Author: Khalid Saeed
    Full Title: New Directions In Behavioral Biometrics
    Publisher: CRC Press (October 18, 2016)
    Year: 2017
    ISBN-13: 9781498784627 (978-1-4987-8462-7)
    ISBN-10: 1498784623
    Pages: 228
    Language: English
    Genre: Computer Science
    File type: PDF (True, but nonnative Cover)
    Quality: 9/10
    Price: £95.00


    Automatic biometrics recognition techniques are increasingly important in corporate and public security systems and have increased in methods due to rapid field development. This book discusses classic behavioral biometrics as well as collects the latest advances in techniques, theoretical approaches, and dynamic applications. This future-looking book is an important reference tool for researchers, practitioners, academicians, and technologists. While there are existing books that focus on physiological biometrics or algorithmic approaches deployed in biometrics, this book addresses a gap in the existing literature for a text that is solely dedicated to the topic of behavioral biometrics.


    Features:
    ✓ presents a thorough analysis of the latest research into well-known techniques such as signature verification and voice recognition, as well more recently developed and ground-breaking techniques including keyboard/mouse dynamics, gait analysis, odor analysis and salinity testing, which are ever increasing in reliability
    ✓ provides a comprehensive glossary of terms as well as a rich set of references and websites that enable the reader to explore and augment topics as required
    ✓ describes the central applications for the technology within e-commerce and related industries, and provides a number of comprehensive case studies of major implementations that provide the user with a strong sense of the approaches employed in the various subdomains of behavioral biometrics
    ✓ discusses exciting future trends that focus on the brain-computer interface using EEG technology and may one day enable human-machine interaction via brainwave patterns

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