Biometric Authentication: A Machine Learning Approach (Prentice Hall Information and System Sciences Series)

S.Y. Kung/ M.W. Mak/ S.H. Lin

ISBN 10: 0137074832 / ISBN 13: 9780137074839

Published by Prentice Hall, 2010

About this Item

1st edition. 496 pages. 9.08x7.04x1.05 inches. In Stock.

Seller Inventory # zk0137074832

Bibliographic Details

• Title: Biometric Authentication: A Machine Learning Approach (Prentice Hall Information and System Sciences Series)
• Publisher: Prentice Hall
• Publication Date: 2010
• Language: English
• ISBN 10: 0137074832
• ISBN 13: 9780137074839
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

Today's security systems are farm from perfect, leaving the world's free citizensvulnerable to criminal activity ranging from computer viruses to terroristcampaigns. One of the most paramount challenges of today's engineers isidentifying and tracking individuals who are capable of committing such acts.This task will become less complex with the advent of the latest authenticationand recognition technology - mainly biometric authentication.This book presents practical ways of implementing biometric authenticationsystems based on human faces and voices. It bridges the gap betweenbiometric research (the theoretical aspect of pattern classification) andbiometric system design(the system design and deployment issues of biometricsystems).After reading this book Engineers will be able to build reliable applications thatwill support today's robust authentication systems - securing us all.

About the Author

Sun-Yuan Kung is a professor of electrical engineering at Princeton University. His research and teaching interests include VLSI signal processing; neural networks; digital signal, image, and video processing; and multimedia information systems. His books include VLSI Array Processors and Digital Neural Networks (Prentice Hall PTR).

Man-Wai Mak is an assistant professor at The Hong Kong Polytechnic University and chairman of the IEEE Hong Kong Section Computer Chapter. His research interests include speaker recognition, machine learning, and neural networks.

Shang-Hung Lin is a senior architect at Nvidia, a leader in video and imaging products.