Biometric Authentication: A Machine Learning Approach by Sun-Yuan Kung

Biometric Authentication: A Machine Learning Approach

Sun-Yuan Kung
476 pages
Prentice Hall
Jan 2004
Hardcover
Computers & Internet WSBN
0
Readers
0
Reviews
0
Discussions
0
Quotes
A breakthrough approach to improving biometrics performanceConstructing robust information processing systems for face and voice recognitionSupporting high-performance data fusion in multimodal systemsAlgorithms, implementation techniques, and application examplesMachine learning: driving significant improvements in biometric performanceAs 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 recog
Join the conversation

No discussions yet. Join BookLovers to start a discussion about this book!

No reviews yet. Join BookLovers to write the first review!

No quotes shared yet. Join BookLovers to share your favorite quotes!

Earn Points
Your voice matters. Every comment, review, and quote earns you reward points redeemable for Bitcoin.
Comment +5 pts Review +20 pts Quote +7 pts Upvote +1 pt
BookMatch Quiz
Find books similar to this one
About this book
Pages 476
Publisher Prentice Hall
Published 2004
Readers 0