Download Biometrics: Theory, methods, and applications by N. V. Boulgouris, Konstantinos N. Plataniotis, Evangelia PDF

By N. V. Boulgouris, Konstantinos N. Plataniotis, Evangelia Micheli-Tzanakou

An in-depth exam of the innovative of biometrics

This ebook fills a niche within the literature through detailing the new advances and rising theories, tools, and purposes of biometric structures in various infrastructures. Edited by way of a panel of specialists, it presents complete assurance of:

  • Multilinear discriminant research for biometric sign reputation
  • Biometric identification authentication innovations in keeping with neural networks
  • Multimodal biometrics and layout of classifiers for biometric fusion
  • Feature choice and facial getting older modeling for face acceptance
  • Geometrical and statistical versions for video-based face authentication
  • Near-infrared and 3D face reputation
  • Recognition in accordance with fingerprints and 3D hand geometry
  • Iris popularity and ECG-based biometrics
  • Online signature-based authentication
  • Identification in accordance with gait
  • Information thought ways to biometrics
  • Biologically encouraged equipment and biometric encryption
  • Biometrics in accordance with electroencephalography and event-related potentials

Biometrics: idea, tools, and functions is an fundamental source for researchers, defense specialists, policymakers, engineers, and graduate scholars.

Show description

Read or Download Biometrics: Theory, methods, and applications PDF

Best intelligence & semantics books

Handbook of Knowledge Representation

Wisdom illustration, which lies on the middle of synthetic Intelligence, is anxious with encoding wisdom on pcs to permit platforms to cause immediately. The guide of data illustration is an up to date evaluate of twenty-five key subject matters in wisdom illustration, written through the leaders of every box.

Semantic Web Technologies for e-Learning, The Future of Learning, Volume 4

This ebook outlines the newest learn, theoretical and technological advances, and functions of semantic internet and net 2. zero applied sciences in e-learning. It presents a consultant for researchers and builders to the current and destiny traits of analysis during this box. The e-book, incorporating a few papers from the overseas Workshop on Ontologies and Semantic internet in e-Learning (SWEL), is split into 3 sections.

Singular Perturbation Methods for Ordinary Differential Equations

This e-book effects from a number of lectures given lately. Early drafts have been used for a number of unmarried semester classes on singular perturbation meth­ ods given at Rensselaer, and a extra entire model was once used for a 12 months direction on the Technische Universitat Wien. a few parts were used for brief lecture sequence at Universidad significant de Venezuela, West Vir­ ginia college, the collage of Southern California, the college of California at Davis, East China basic collage, the collage of Texas at Arlington, Universita di Padova, and the collage of recent Hampshire, between different locations.

Symbolic dynamics : one-sided, two-sided, and countable state Markov shifts

Approximately 100 years in the past Jacques Hadamard used countless sequences of symbols to research the distribution of geodesics on convinced surfaces. That was once the start of symbolic dynamics. within the 1930's and 40's Arnold Hedlund and Marston Morse back used endless sequences to enquire geodesics on surfaces of detrimental curvature.

Extra resources for Biometrics: Theory, methods, and applications

Example text

Regarding the comparison between LDA and MLDA, we concentrate on the scatter-ratio-based methods: LDA and ULDA versus DATER and UMLDA. In this experiment, DATER and UMLDA outperform LDA and ULDA greatly, especially when L is small. When L = 30—that is, the number of training samples for each subject is large—the performance gap is reduced. This comparison demonstrates that treating gray-level face images in their natural 2-D representation is advantageous against vectorized representation, especially when the number of training samples per subject is small.

Zhou, O. Bousquet, T. Lal, J. Weston, and B. Sch¨olkopf, Learning with local and global consistency, in Advances in Neural Information Processing Systems, 2003, pp. 321–328. 43. X. Zhu, Z. Ghahramani, and J. Lafferty, Semi-supervised learning using Gaussian fields and harmonic functions, in Proceedings of the 20th International Conference on Machine Learning, 2003, pp. 912–919. 44. J. Chen, J. Ye, and Q. Li, Integrating global and local structures: A least squares framework for dimensionality reduction, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007, pp.

References 19 61. -J. Kim, A. Magnani, and S. Boyd, Optimal kernel selection in kernel Fisher discriminant analysis, in Proceedings of the Twenty-Third International Conference on Machine Learning, 2006, pp. 465–472. 62. J. Ye, J. Chen, and S. Ji, Discriminant kernel and regularization parameter learning via semidefinite programming, in Proceedings of the Twenty-Fourth International Conference on Machine Learning, 2007, pp. 1095–1102. 63. S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, New York, 2004.

Download PDF sample

Rated 4.54 of 5 – based on 16 votes