Description
This book brings together aspects of statistics and machine learning to provide a comprehensive guide to evaluating, interpreting and understanding biometric data. This professional book naturally leads to topics including data mining and prediction, which have been widely applied to other fields but not rigorously to biometrics, to be examined in detail. The book places an emphasis on the various performance measures available for biometric systems, what they mean, and when they should and should not be applied. The evaluation techniques are presented rigorously, however they are always accompanied by intuitive explanations that can be used to convey the essence of the statistical concepts to a general audience. This last point is an important one for the increased acceptance of biometrics among non-technical decision makers, and ultimately the general public.
Author: Ted Dunstone, Neil Yager
Publisher: Springer
Published: 12/02/2008
Pages: 268
Binding Type: Hardcover
Weight: 1.20lbs
Size: 9.30h x 6.10w x 0.80d
ISBN13: 9780387776255
ISBN10: 0387776257
BISAC Categories:
- Computers | Security | General
- Computers | Data Science | Data Analytics
- Computers | Artificial Intelligence | Computer Vision & Pattern Recognit
This title is not returnable