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Orthogonal Image Moments for Human-Centric Visual Pattern Recognition

  • S. M. Mahbubur Rahman
  • Tamanna Howlader
  • Dimitrios Hatzinakos
Book

Part of the Cognitive Intelligence and Robotics book series (CIR)

Table of contents

  1. Front Matter
    Pages i-xii
  2. S. M. Mahbubur Rahman, Tamanna Howlader, Dimitrios Hatzinakos
    Pages 1-17
  3. S. M. Mahbubur Rahman, Tamanna Howlader, Dimitrios Hatzinakos
    Pages 19-48
  4. S. M. Mahbubur Rahman, Tamanna Howlader, Dimitrios Hatzinakos
    Pages 49-85
  5. S. M. Mahbubur Rahman, Tamanna Howlader, Dimitrios Hatzinakos
    Pages 87-116
  6. S. M. Mahbubur Rahman, Tamanna Howlader, Dimitrios Hatzinakos
    Pages 117-128
  7. S. M. Mahbubur Rahman, Tamanna Howlader, Dimitrios Hatzinakos
    Pages 129-143
  8. S. M. Mahbubur Rahman, Tamanna Howlader, Dimitrios Hatzinakos
    Pages 145-149

About this book

Introduction

Instead of focusing on the mathematical properties of moments, this book is a compendium of research that demonstrates the effectiveness of orthogonal moment-based features in face recognition, expression recognition, fingerprint recognition and iris recognition.
 
The usefulness of moments and their invariants in pattern recognition is well known. What is less well known is how orthogonal moments may be applied to specific problems in human-centric visual pattern recognition. Unlike previous books, this work highlights the fundamental issues involved in moment-based pattern recognition, from the selection of discriminative features in a high-dimensional setting, to addressing the question of how to classify a large number of patterns based on small training samples. In addition to offering new concepts that illustrate the use of statistical methods in addressing some of these issues, the book presents recent results and provides guidance on implementing the methods. Accordingly, it will be of interest to researchers and graduate students working in the broad areas of computer vision and visual pattern recognition.

Keywords

Image Moments Human-Centric Visual Patterns Pattern Recognition Discriminative Features Biometric Security

Authors and affiliations

  • S. M. Mahbubur Rahman
    • 1
  • Tamanna Howlader
    • 2
  • Dimitrios Hatzinakos
    • 3
  1. 1.Department of Electrical and Electronic EngineeringBangladesh University of Engineering and TechnologyDhakaBangladesh
  2. 2.Institute of Statistical Research and TrainingUniversity of DhakaDhakaBangladesh
  3. 3.Department of Electrical and Computer EngineeringUniversity of TorontoTorontoCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-32-9945-0
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-32-9944-3
  • Online ISBN 978-981-32-9945-0
  • Series Print ISSN 2520-1956
  • Series Online ISSN 2520-1964
  • Buy this book on publisher's site
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