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Autor(en): 
  • Anil K. Jain
  • Arun A. Ross
  • Karthik Nandakumar
  • Handbook of Multibiometrics 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2006  
    Genre:  EDV / Informatik 
     
    Algorithms & data structures / Automated Pattern Recognition / B / Coding theory & cryptology / Computer Imaging, Vision, Pattern Recognition and Graphics / computer science / Computer Vision / Cryptology
    ISBN:  9780387222967 
    EAN-Code: 
    9780387222967 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #06 - International Series on Biometrics  
    Dimensionen:  H 235 mm / B 155 mm / D 17 mm 
    Gewicht:  1090 gr 
    Seiten:  198 
    Illustration:  XXII, 198 p. 65 illus., schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Reliable human authentication schemes are of paramount importance in our highly networked society.  Advances in the field of biometrics help address the myriad of problems associated with traditional human recognition methods. The performance and benefits of a biometric system can be significantly enhanced by consolidating the evidence presented by multiple biometric sources. Multibiometric systems are expected to meet the stringent performance requirements imposed by large-scale authentication systems.

    Handbook of Multibiometrics , a professional book, introduces multibiometric systems, and demonstrates the noteworthy advantages of these systems over their unimodal counterparts. In addition, this book describes in detail the various scenarios that are possible when fusing biometric evidence from multiple information sources.

    This comprehensive volume on multibiometric systems concisely and clearly outlines the different fusion methodologies that have been proposed by researchers to integrate multiple biometric traits.

    Handbook of Multibiometrics is designed for a professional audience, composed of researchers and practitioners in the industry. This book is also suitable for graduate-level students as a secondary text in computer science within advanced biometrics.

      



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