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  • The Biometric Computing: Recognition and Registration

    The Biometric Computing by Arya, Karm Veer; Bhadoria, Robin Singh;

    Recognition and Registration

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 145.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        69 273 Ft (65 975 Ft + 5% VAT)
      • Discount 20% (cc. 13 855 Ft off)
      • Discounted price 55 419 Ft (52 780 Ft + 5% VAT)

    69 273 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Short description:

    This book will help students of Computer Science and Information Science to get a better understanding of Biometric Computing and its related analysis for identification and recognition. It provides information on biometric traits such as fingerprint, face recognition, palmprint, Iris scan etc.

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    Long description:

    "The Biometric Computing: Recognition & Registration" presents introduction of biometrics along with detailed analysis for identification and recognition methods. This book forms the required platform for understanding biometric computing and its implementation for securing target system. It also provides the comprehensive analysis on algorithms, architectures and interdisciplinary connection of biometric computing along with detailed case-studies for newborns and resolution spaces. The strength of this book is its unique approach starting with how biometric computing works to research paradigms and gradually moves towards its advancement. This book is divided into three parts that comprises basic fundamentals and definitions, algorithms and methodologies, and futuristic research and case studies.



    Features:





    • A clear view to the fundamentals of Biometric Computing



    • Identification and recognition approach for different human characteristics



    • Different methodologies and algorithms for human identification using biometrics traits such as face, Iris, fingerprint, palm print, voiceprint etc.



    • Interdisciplinary connection of biometric computing with the fields like deep neural network, artificial intelligence, Internet of Biometric Things, low resolution face recognition etc.



    This book is an edited volume by prominent invited researchers and practitioners around the globe in the field of biometrics, describes the fundamental and recent advancement in biometric recognition and registration. This book is a perfect research handbook for young practitioners who are intending to carry out their research in the field of Biometric Computing and will be used by industry professionals, graduate and researcher students in the field of computer science and engineering.

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    Table of Contents:

    Part I: The Biometric Computing – Fundamentals & Definitions. Acquisition and Computation for Data in Biometric System. Advances in Unconstrained Handprint Biometrics. Voiceprint Based Biometric Template Identifications. Behavioral Biometrics: A Prognostic Measure For Activity Recognition. Finger Biometric Recognition with Feature Selection. Part II: The Biometric Computing - Algorithms & Methodologies. Iris Recognition Systems in Non-Cooperative Environment. Slap Fingerprint Authentication and its Limitations. The Reality of People Re-Identification Task, Where We Are And Where We Are Going: A Review. Optimization of SVM Based Hand Gesture Recognition System Using Particle Swarm Optimization and Plant Growth Algorithm. Internet of Biometric Things: Standardization Activities and Frameworks. Part III: The Biometric Computing – Futuristic Research & Case Studies. Deep Neural Networks For Biometric Identification Based On Non-Intrusive ECG Acquisitions. Recent Advances in Biometric Recognition for Newborns. Paradigms of Artificial Intelligence in Biometric Computing. Face recognition in Low-Resolution Space


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