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Machine Learning and Biometrics [Kõva köide]

  • Formaat: Hardback, 244 pages, kõrgus x laius: 229x152 mm, kaal: 603 g
  • Ilmumisaeg: 30-Dec-2021
  • Kirjastus: Arcler Press
  • ISBN-10: 1774691043
  • ISBN-13: 9781774691045
Teised raamatud teemal:
  • Formaat: Hardback, 244 pages, kõrgus x laius: 229x152 mm, kaal: 603 g
  • Ilmumisaeg: 30-Dec-2021
  • Kirjastus: Arcler Press
  • ISBN-10: 1774691043
  • ISBN-13: 9781774691045
Teised raamatud teemal:
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.
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