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Biometric Authentication: A Machine Learning Approach (Out of print)

AUTHOR Kung, S. Y.; Lin, S. H.; Mak, M. W. et al.
PUBLISHER Prentice Hall (09/14/2004)
PRODUCT TYPE Paperback (Paperback)
Description
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.
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Product Format
Product Details
ISBN-13: 9780137074839
ISBN-10: 0137074832
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
More Product Details
Page Count: 476
Carton Quantity: 30
Product Dimensions: 6.90 x 0.90 x 9.10 inches
Weight: 1.70 pound(s)
Feature Codes: Bibliography, Index, Table of Contents, Textbook, Illustrated
Country of Origin: US
Subject Information
BISAC Categories
Technology & Engineering | Signals & Signal Processing
Technology & Engineering | Data Science - Neural Networks
Descriptions, Reviews, Etc.
jacket back
  • A breakthrough approach to improving biometrics performance
  • Constructing robust information processing systems for face and voice recognition
  • Supporting high-performance data fusion in multimodal systems
  • Algorithms, implementation techniques, and application examples
Machine learning: driving significant improvements in biometric performance

As they improve, biometric authentication systems are becoming increasingly indispensable for protecting life and property. This book introduces powerful machine learning techniques that significantly improve biometric performance in a broad spectrum of application domains.

Three leading researchers bridge the gap between research, design, and deployment, introducing key algorithms as well as practical implementation techniques. They demonstrate how to construct robust information processing systems for biometric authentication in both face and voice recognition systems, and to support data fusion in multimodal systems.

Coverage includes:

  • How machine learning approaches differ from conventional template matching
  • Theoretical pillars of machine learning for complex pattern recognition and classification
  • Expectation-maximization (EM) algorithms and support vector machines (SVM)
  • Multi-layer learning models and back-propagation (BP) algorithms
  • Probabilistic decision-based neural networks (PDNNs) for face biometrics
  • Flexible structural frameworks for incorporating machine learning subsystems in biometric applications
  • Hierarchical mixture of experts and inter-class learning strategies based on class-based modular networks
  • Multi-cue data fusion techniques that integrate face and voice recognition
  • Application case studies
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publisher marketing
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.
Show More
List Price $150.00
Your Price  $148.50
Paperback