Last edited by Brazilkree
Friday, July 17, 2020 | History

3 edition of Image pattern recognition found in the catalog.

Image pattern recognition

synthesis and analysis in biometrics

by Svetlana N. Yanushkevich

  • 21 Want to read
  • 30 Currently reading

Published by World Scientific in Singapore, Hackensack, NJ .
Written in English

    Subjects:
  • Biometric identification,
  • Pattern recognition systems,
  • Mathematical models,
  • Automation,
  • Congrès,
  • Identification biométrique,
  • Identification,
  • Reconnaissance des formes (Informatique),
  • Congresses,
  • Modèles mathématiques,
  • Artificial intelligence

  • Edition Notes

    Statementeditors, Svetlana N. Yanushkevich ... [et al.] ; consulting editor, Mark S. Nixon
    SeriesSeries in machine perception and artificial intelligence -- v. 67
    Classifications
    LC ClassificationsTK7882.P3 I43 2007
    The Physical Object
    Paginationxxi, 430 p. :
    Number of Pages430
    ID Numbers
    Open LibraryOL24882157M
    ISBN 109812569081
    ISBN 109789812569080
    LC Control Number2010279234
    OCLC/WorldCa166766801

    Get this from a library! Image Pattern Recognition. [V A Kovalevsky] -- During the last twenty years the problem of pattern recognition (specifically, image recognition) has been studied intensively by many investigators, yet it is far from being solved. The number of. Hands-On Pattern Recognition Challenges in Machine Learning, Volume 1 Isabelle Guyon, Gavin Cawley, Gideon Dror, and Amir Saffari, editors Nicola Talbot, production editor ference, in the form of competitions or challenges. This book opens the series Challenges in Machine Learning. It contains papers by the top ranking challenge.

      This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in Pages: This project investigates the use of machine learning for image analysis and pattern recognition. Examples are shown using such a system in image content analysis and in making diagnoses and prognoses in the field of healthcare. Given a data set of images with known classifications, a system can predict the classification of new images.

    Pattern recognition the ability to recognize patterns. What you don’t already realize is that you already do highly complex pattern recognition. You’ve already started learning. You’ve been learning since the day you were born. You learned a lang. Book Description. This book describes the methods and algorithms for image pre-processing and recognition. These methods are based on a parallel shift technology of the imaging copy, as well as simple mathematical operations to allow the generation of a minimum set of features to describe and recognize the image.


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Image pattern recognition. New York: Springer-Verlag, © (OCoLC) Document Type.