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Biometric Presentation Attack Detection

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Bag om Biometric Presentation Attack Detection

Biometrics use an individual's unique biological identifiers to verify his or her identity. The present technological evolution has allowed the use of biometrics in many diverse environments, and we are therefore at higher risk of spoofing attacks from fraudsters and hackers. This book discusses anti-spoofing techniques in detail. For each anti-spoofing technology, different experimental configurations, processing strategies, scope for generalization, advantages and limitations are detailed. The book also considers applicability of artificial intelligence techniques for automated biometric spoof detection, and future scope of research in this direction. MATLAB and PYTHON codes for few anti-spoofing schemes are also provided to further the reader's understanding.Key Features: Consolidated approach includes most prevalent spoofing and anti-spoofing strategies.Includes both hardware and software-based approaches to anti-spoofing technologiesFeatures Artificial Intelligence methodsReviews patentsAccompanied by MATLAB and PYTHON codes

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780750352000
  • Indbinding:
  • Hardback
  • Sideantal:
  • 228
  • Udgivet:
  • 21. december 2023
  • Størrelse:
  • 187x263x20 mm.
  • Vægt:
  • 618 g.
  • BLACK NOVEMBER
  Gratis fragt
Leveringstid: 2-3 uger
Forventet levering: 11. december 2024

Beskrivelse af Biometric Presentation Attack Detection

Biometrics use an individual's unique biological identifiers to verify his or her identity. The present technological evolution has allowed the use of biometrics in many diverse environments, and we are therefore at higher risk of spoofing attacks from fraudsters and hackers. This book discusses anti-spoofing techniques in detail. For each anti-spoofing technology, different experimental configurations, processing strategies, scope for generalization, advantages and limitations are detailed. The book also considers applicability of artificial intelligence techniques for automated biometric spoof detection, and future scope of research in this direction. MATLAB and PYTHON codes for few anti-spoofing schemes are also provided to further the reader's understanding.Key Features: Consolidated approach includes most prevalent spoofing and anti-spoofing strategies.Includes both hardware and software-based approaches to anti-spoofing technologiesFeatures Artificial Intelligence methodsReviews patentsAccompanied by MATLAB and PYTHON codes

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