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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Topic
Computer ScienceIndex
Computer ScienceTable of contents
- Cover
- Title Page
- Copyright
- ABOUT THE EDITOR
- TABLE OF CONTENTS
- List of Figures
- List of Tables
- List of Abbreviations
- Preface
- Chapter 1 Machine Learning for Biometrics
- Chapter 2 Biometric Detection Recognition Techniques
- Chapter 3 Soft Biometrics for Human Recognition
- Chapter 4 Eye Recognition Technique and its Characteristics
- Chapter 5 Machine Learning in Biometric Signature Verification
- Chapter 6 Fingerprints Classification Using Machine Learning and Image Analysis
- Chapter 7 Artificial Intelligence in Biometrics
- Chapter 8 Countering the Presentation Attacks in Recognition of Face, Iris, and Fingerprint
- Index
- Back Cover
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