Biometric Image Discrimination Technologies

By: David Zhang, Xiaoyuan Jing, Jian Yang

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Hardcover | 28 February 2006

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Hardcover
374 Pages

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25.4 x 18.42 x 2.54

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Biometric Image Discrimination Technologies addresses highly relevant issues to many fundamental concerns of both researchers and practitioners of biometric image discrimination (BID) in biometric applications. This book describes the basic concepts necessary for a good understanding of BID and answers some important introductory questions about BID. Biometric Image Discrimination Technologies covers the theories which are the foundations of basic BID technologies, while developing new algorithms which are verified to be more effective in biometrics authentication. This book will assist students new to the field and will also be useful to senior researchers in this area. This book is a part of the Computational Intelligence and its Applications Series.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Computer Vision Law Pattern Recognition Image Processing Databases Data Capture & Analysis

An introduction to biometrics image discrimination (BID)	p. 1
Principal component analysis	p. 21
Linear discriminant analysis	p. 41
PCA/LDA applications in biometrics	p. 65
Statistical uncorrelation analysis	p. 139
Solutions of LDA for small sample size problems	p. 156
An improved LDA approach	p. 187
Discriminant DCT feature extraction	p. 205
Other typical BID improvements	p. 222
Complete kernel-Fisher discriminant analysis	p. 235
2D image matrix-based discriminator	p. 258
Two-directional PCA/LDA	p. 287
Feature fusion using complex descriminator	p. 329
Table of Contents provided by Blackwell. All Rights Reserved.

Biometric Image Discrimination Technologies

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