Machine Learning and Biometrics
eBook - PDF

Machine Learning and Biometrics

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  1. 244 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Machine Learning and Biometrics

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About this book

This comprehensive guide provides a detailed overview of modern biometrics, which allows a person to be identified and authenticated based on recognizable, unique, and verifiable data. Biometrics technologies include detection of dormant fingerprints, iris, gait, or facial and voice recognition. Today, biometrics powers cutting-edge security algorithms. Biometrics is used for access into banks, airports or personal smartphones, which means that your money and personal information can be stored safely. Each chapter starts with a comprehensive review of the biometrics technology and its algorithmic description, describes how it works, and outlines all of the applicable and modern use cases of that technology. This book will be an invaluable companion guide to students wishing to become system designers, micro-engineers, security algorithms creators, security experts, and electronic security system manufacturers working on controls or microchips.

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Information

Publisher
Arcler Press
Year
2022
eBook ISBN
9781774692851
Edition
0
Topic
Computer Science
Index
Computer Science

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. ABOUT THE EDITOR
  5. TABLE OF CONTENTS
  6. List of Figures
  7. List of Tables
  8. List of Abbreviations
  9. Preface
  10. Chapter 1 Machine Learning for Biometrics
  11. Chapter 2 Biometric Detection Recognition Techniques
  12. Chapter 3 Soft Biometrics for Human Recognition
  13. Chapter 4 Eye Recognition Technique and its Characteristics
  14. Chapter 5 Machine Learning in Biometric Signature Verification
  15. Chapter 6 Fingerprints Classification Using Machine Learning and Image Analysis
  16. Chapter 7 Artificial Intelligence in Biometrics
  17. Chapter 8 Countering the Presentation Attacks in Recognition of Face, Iris, and Fingerprint
  18. Index
  19. Back Cover