By Haizhou Li, Kar-Ann Toh, Liyuan Li

Biometrics is the research of equipment for uniquely spotting people according to a number of intrinsic actual or behavioral features. After many years of study actions, biometrics, as a well-known medical self-discipline, has complicated significantly either in functional know-how and theoretical discovery to fulfill the expanding want of biometric deployments. during this booklet, the editors supply either a concise and obtainable creation to the sector in addition to an in depth insurance at the distinct study issues of their options in a large spectrum of biometrics examine starting from voice, face, fingerprint, iris, handwriting, human habit to multimodal biometrics. The contributions additionally current the pioneering efforts and state of the art effects, with targeted specialise in functional matters referring to process improvement. This booklet is a worthy reference for proven researchers and it additionally offers a great creation for newcomers to appreciate the demanding situations.

Show description

Read or Download Advanced Topics In Biometrics PDF

Best artificial intelligence books

Read e-book online The Reality of the Artificial: Nature, Technology and PDF

The human ambition to breed and enhance common items and techniques has an extended heritage, and levels from goals to genuine layout, from Icarus’s wings to trendy robotics and bioengineering. This relevant appears associated not just to sensible application but additionally to our private psychology.

Download PDF by Russell C. Eberhart, Yuhui Shi: Swarm Intelligence

Conventional equipment for growing clever computational platforms have
privileged deepest "internal" cognitive and computational tactics. In
contrast, Swarm Intelligence argues that human
intelligence derives from the interactions of people in a social world
and additional, that this version of intelligence may be successfully utilized to
artificially clever platforms. The authors first current the principles of
this new technique via an intensive evaluate of the severe literature in
social psychology, cognitive technology, and evolutionary computation. They
then express intimately how those theories and versions practice to a new
computational intelligence methodology—particle swarms—which focuses
on model because the key habit of clever structures. Drilling down
still extra, the authors describe the sensible advantages of using particle
swarm optimization to a number of engineering difficulties. built by
the authors, this set of rules is an extension of mobile automata and
provides a robust optimization, studying, and challenge fixing strategy.

This vital ebook offers priceless new insights by means of exploring the
boundaries shared through cognitive technological know-how, social psychology, synthetic life,
artificial intelligence, and evolutionary computation and by way of using these
insights to the fixing of adverse engineering difficulties. Researchers and
graduate scholars in any of those disciplines will locate the material
intriguing, provocative, and revealing as will the curious and savvy
computing professional.

* areas particle swarms in the higher context of intelligent
adaptive habit and evolutionary computation.
* Describes contemporary result of experiments with the particle swarm
optimization (PSO) set of rules
* features a simple evaluate of information to make sure readers can
properly learn the result of their very own experiments utilizing the
algorithm.
* help software program which might be downloaded from the publishers
website, contains a Java PSO applet, C and visible uncomplicated source
code.

Download e-book for kindle: Dynamics of Crowd-Minds: Patterns of Irrationality in by Andrew Adamatzky

A crowd-mind emerges whilst formation of a crowd factors fusion of person minds into one collective brain. participants of the group lose their individuality. The deindividuation ends up in derationalization: emotional, impulsive and irrational habit, self-catalytic actions, reminiscence impairment, perceptual distortion, hyper-responsiveness, and distortion of conventional kinds and buildings.

New PDF release: Computational logic and human thinking : how to be

''The functional advantages of computational good judgment don't need to be restricted to arithmetic and computing. As this publication indicates, traditional humans of their daily lives can take advantage of the hot advances which were built for synthetic intelligence. The booklet attracts upon similar advancements in quite a few fields from philosophy to psychology and legislation.

Extra resources for Advanced Topics In Biometrics

Sample text

The SRE04 data was used as the background dataset; the telephone and microphone data from SRE04, SRE05, and SRE06, and the interview data of Mixer 5 were applied for NAP training; and the 1conv4w telephone data of SRE05 were used for T -norm. For the NAP training, the same scheme of individual channel space training and subspace combination as that for JFA was adopted. , 2006b). Given a speaker’s utterance, a GMM is estimated by using MAP-adapted means of the UBM of 512 Gaussian mixture components.

Given two speech utterances, a and b, we can derive two supervectors, ma and b m , in the same way as in Sec. 2. 31) where P is a projection (P2 = P), v is the direction being removed from the SVM expansion space, b(·) is the SVM expansion, and v 2 = 1. 32) ij where the {mi } and {mj } are typically a background dataset. The elements of the symmetric matrix W can be designed as positive for the pairs of training utterances that are to be pulled together, negative for pairs that are to be pushed apart, and zero for pairs that are of no concern.

2:963–966, 1997. Reynolds, D. A. Channel robust speaker verification via feature mapping, in Proc. ICASSP, pp. 2:6–10, 2003. Reynolds, D. , Quatieri, T. , and Dunn, R. B. Speaker verification using adapted Gaussian mixture modeling, Digital Signal Processing 10, 19–41, 2000. Reynolds, D. A. and Rose, R. Robust text-independent speaker identification using Gaussian mixture speaker models, IEEE Trans. Speech and Audio Processing 3, 1, 72–83, 1995. , Campbell, W. , and Boardman, I. Advances in channel compensation for SVM speaker recognition, in Proc.

Download PDF sample

Rated 4.46 of 5 – based on 21 votes