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What is Liveness Detection

Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science
The detection of whether an acquired biometric sample data is coming from a currently active live user.
Published in Chapter:
Voice Biometrics: The Promising Future of Authentication in the Internet of Things
Saleema A. (Indian Institute of Information Technology and Management Kerala, India) and Sabu M. Thampi (Indian Institute of Information Technology and Management Kerala, India)
DOI: 10.4018/978-1-5225-5972-6.ch017
Abstract
Biometric technology is spearheading the existing authentication methods in the IoT. Considering the balance between security and convenience, voice biometrics seems to be the most logical biometric technologies to be used. The authors present an extensive survey to identify, analyze, and compare various methods and algorithms for the different phases in the process of speaker identification/recognition, which is the part and parcel in voice biometrics. The chapter is intended to provide essential background information to those interested in learning or planning to design voice authentication systems. The chapter highlights the need for a biometric authentication system, the reason why we prefer voice, its present state of affairs, and its scope with fog computing to be used in IoT.
Full Text Chapter Download: US $37.50 Add to Cart
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Biometrics for Forensic Identification in Web Applications and Social Platforms Using Deep Learning
It is the process of using biometric identification to ascertain the identity of an individual. This also involves the verification that the user is a real person or the same person who was enrolled in the database.
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