Biometric Image Discrimination Technologies by David Zhang

By David Zhang

Biometric picture Discrimination applied sciences addresses hugely appropriate matters to many basic issues of either researchers and practitioners of biometric photo discrimination (BID) in biometric functions. This publication describes the fundamental strategies priceless for a superb realizing of BID and solutions a few very important introductory questions on BID.Biometric picture Discrimination applied sciences covers the theories that are the principles of simple BID applied sciences, whereas constructing new algorithms that are established to be better in biometrics authentication. This booklet will help scholars new to the sphere and also will be worthwhile to senior researchers during this zone.

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8) Copyright © 2006, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. 10) Thus, Σ is symmetric, and its diagonal elements are just the variances of the individual elements of x, which can never be negative; the off-diagonal elements are the covariances, which can be positive or negative. If the variances are statistically independent, the covariances are zero, and the covariance matrix is diagonal. The analog to the Cauchy-Schwarz inequality comes from recognizing that if w is any d-dimensional vector, then the variance of wtx can never be negative.

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