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Author: Fouad Sabry
Publisher: One Billion Knowledgeable
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 468
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Book Description
What Is Multimodal Contactless Biometric Systems Body measurements and mathematical computations relating to human attributes are what are known as biometrics. In the field of computer science, one method of identifying and access control that is utilized is called biometric authentication. Additionally, it is utilized to identify people inside groups that are being monitored by security personnel. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Biometrics Chapter 2: Authentication Chapter 3: Fingerprint Chapter 4: Iris recognition Chapter 5: Facial recognition system Chapter 6: Speaker recognition Chapter 7: Hand geometry Chapter 8: Password psychology Chapter 9: Keystroke dynamics Chapter 10: Card reader Chapter 11: Biometrics in schools Chapter 12: Private biometrics Chapter 13: Aadhaar Chapter 14: Vein matching Chapter 15: Biometric points Chapter 16: E-commerce identification and identification types Chapter 17: Smudge attack Chapter 18: Countries applying biometrics Chapter 19: Identity-based security Chapter 20: Biometric device Chapter 21: Identity replacement technology (II) Answering the public top questions about multimodal contactless biometric systems. (III) Real world examples for the usage of multimodal contactless biometric systems in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of multimodal contactless biometric systems' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of multimodal contactless biometric systems.
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 468
Get Book Here
Book Description
What Is Multimodal Contactless Biometric Systems Body measurements and mathematical computations relating to human attributes are what are known as biometrics. In the field of computer science, one method of identifying and access control that is utilized is called biometric authentication. Additionally, it is utilized to identify people inside groups that are being monitored by security personnel. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Biometrics Chapter 2: Authentication Chapter 3: Fingerprint Chapter 4: Iris recognition Chapter 5: Facial recognition system Chapter 6: Speaker recognition Chapter 7: Hand geometry Chapter 8: Password psychology Chapter 9: Keystroke dynamics Chapter 10: Card reader Chapter 11: Biometrics in schools Chapter 12: Private biometrics Chapter 13: Aadhaar Chapter 14: Vein matching Chapter 15: Biometric points Chapter 16: E-commerce identification and identification types Chapter 17: Smudge attack Chapter 18: Countries applying biometrics Chapter 19: Identity-based security Chapter 20: Biometric device Chapter 21: Identity replacement technology (II) Answering the public top questions about multimodal contactless biometric systems. (III) Real world examples for the usage of multimodal contactless biometric systems in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of multimodal contactless biometric systems' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of multimodal contactless biometric systems.
Author: Rashmi Gupta
Publisher: CRC Press
ISBN: 1000453782
Category : Computers
Languages : en
Pages : 185
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Book Description
Many governments around the world are calling for the use of biometric systems to provide crucial societal functions, consequently making it an urgent area for action. The current performance of some biometric systems in terms of their error rates, robustness, and system security may prove to be inadequate for large-scale applications to process millions of users at a high rate of throughput. This book focuses on fusion in biometric systems. It discusses the present level, the limitations, and proposed methods to improve performance. It describes the fundamental concepts, current research, and security-related issues. The book will present a computational perspective, identify challenges, and cover new problem-solving strategies, offering solved problems and case studies to help with reader comprehension and deep understanding. This book is written for researchers, practitioners, both undergraduate and post-graduate students, and those working in various engineering fields such as Systems Engineering, Computer Science, Information Technology, Electronics, and Communications.
Author: Marina L. Gavrilova
Publisher: IGI Global
ISBN: 1466636475
Category : Law
Languages : en
Pages : 233
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Book Description
"This book provides an in-depth description of existing and fresh fusion approaches for multimodal biometric systems, covering relevant topics affecting the security and intelligent industries"--Provided by publisher.
Author: Loris Nanni
Publisher: MDPI
ISBN: 3036511288
Category : Technology & Engineering
Languages : en
Pages : 352
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Book Description
Because of the accelerating progress in biometrics research and the latest nation-state threats to security, this book's publication is not only timely but also much needed. This volume contains seventeen peer-reviewed chapters reporting the state of the art in biometrics research: security issues, signature verification, fingerprint identification, wrist vascular biometrics, ear detection, face detection and identification (including a new survey of face recognition), person re-identification, electrocardiogram (ECT) recognition, and several multi-modal systems. This book will be a valuable resource for graduate students, engineers, and researchers interested in understanding and investigating this important field of study.
Author: Ryszard S. Choras
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 0
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Book Description
Unimodal biometric systems have limited effectiveness in identifying people, mainly due to their susceptibility to changes in individual biometric features and presentation attacks. The identification of people using multimodal biometric systems attracts the attention of researchers due to their advantages, such as greater recognition efficiency and greater security compared to the unimodal biometric system. To break into the biometric multimodal system, the intruder would have to break into more than one unimodal biometric system. In multimodal biometric systems: The availability of many features means that the multimodal system becomes more reliable. A multimodal biometric system increases security and ensures confidentiality of user data. A multimodal biometric system realizes the merger of decisions taken under individual modalities. If one of the modalities is eliminated, the system can still ensure security, using the remaining. Multimodal systems provide information on the ,Äúliveness,Äù of the sample being introduced. In a multimodal system, a fusion of feature vectors and/or decisions developed by each subsystem is carried out, and then the final decision on identification is made on the basis of the vector of features thus obtained. In this chapter, we consider a multimodal biometric system that uses three modalities: dorsal vein, palm print, and periocular.
Author: Ajita Rattani
Publisher: Springer
ISBN: 3319248650
Category : Computers
Languages : en
Pages : 141
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Book Description
This interdisciplinary volume presents a detailed overview of the latest advances and challenges remaining in the field of adaptive biometric systems. A broad range of techniques are provided from an international selection of pre-eminent authorities, collected together under a unified taxonomy and designed to be applicable to any pattern recognition system. Features: presents a thorough introduction to the concept of adaptive biometric systems; reviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) data; describes a novel semi-supervised training strategy known as fusion-based co-training; examines the characterization and recognition of human gestures in videos; discusses a selection of learning techniques that can be applied to build an adaptive biometric system; investigates procedures for handling temporal variance in facial biometrics due to aging; proposes a score-level fusion scheme for an adaptive multimodal biometric system.
Author: Sandeep Kumar
Publisher: John Wiley & Sons
ISBN: 1119785472
Category : Computers
Languages : en
Pages : 340
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Book Description
MULTIMODAL BIOMETRIC AND MACHINE LEARNING TECHNOLOGIES With an increasing demand for biometric systems in various industries, this book on multimodal biometric systems, answers the call for increased resources to help researchers, developers, and practitioners. Multimodal biometric and machine learning technologies have revolutionized the field of security and authentication. These technologies utilize multiple sources of information, such as facial recognition, voice recognition, and fingerprint scanning, to verify an individual???s identity. The need for enhanced security and authentication has become increasingly important, and with the rise of digital technologies, cyber-attacks and identity theft have increased exponentially. Traditional authentication methods, such as passwords and PINs, have become less secure as hackers devise new ways to bypass them. In this context, multimodal biometric and machine learning technologies offer a more secure and reliable approach to authentication. This book provides relevant information on multimodal biometric and machine learning technologies and focuses on how humans and computers interact to ever-increasing levels of complexity and simplicity. The book provides content on the theory of multimodal biometric design, evaluation, and user diversity, and explains the underlying causes of the social and organizational problems that are typically devoted to descriptions of rehabilitation methods for specific processes. Furthermore, the book describes new algorithms for modeling accessible to scientists of all varieties. Audience Researchers in computer science and biometrics, developers who are designing and implementing biometric systems, and practitioners who are using biometric systems in their work, such as law enforcement personnel or healthcare professionals.
Author: Arun A. Ross
Publisher: Springer Science & Business Media
ISBN: 0387331239
Category : Computers
Languages : en
Pages : 218
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Book Description
Details multimodal biometrics and its exceptional utility for increasingly reliable human recognition systems. Reveals the substantial advantages of multimodal systems over conventional identification methods.
Author: Sampada Dhole
Publisher:
ISBN: 9781032660585
Category : Computers
Languages : en
Pages : 0
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Book Description
This book presents a novel method of multimodal biometric fusion using a random selection of biometrics, which covers a new method of feature extraction, a new framework of sensor level and feature level fusion. Most of the biometric systems presently use unimodal systems which have several limitations. Multimodal systems can increase the matching accuracy of a recognition system. This monograph shows how the problems of unimodal systems can be efficiently dealt with and focuses on multimodal biometric identification and sensor-level feature-level fusion. It discusses fusion in biometric systems to improve performance. - Presents a random selection of biometrics to ensure that the system is interacting with a live user - Offers a compilation of all techniques used for unimodal as well as multimodal biometric identification systems, elaborated with required justification & interpretation with case studies, suitable figures, tables & graphs etc. - Shows that for feature level fusion using contourlet transform features with LDA for dimension reduction attains more accuracy compared to block variance features - Includes contribution in Feature Extraction & Pattern Recognition for increase in accuracy of the system - Explains contourlet transform as the best modality-specific feature extraction algorithms for fingerprint, face and palmprint This book is for researchers, scholars and students of Computer Science, Information Technology, Electronics and Electrical Engineering, Mechanical Engineering, and people working on biometrics applications.
Author: Julian Fierrez
Publisher: Springer
ISBN: 3642043917
Category : Computers
Languages : en
Pages : 371
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Book Description
This book constitutes the research papers presented at the Joint 2101 & 2102 International Conference on Biometric ID Management and Multimodal Communication. BioID_MultiComm'09 is a joint International Conference organized cooperatively by COST Actions 2101 & 2102. COST 2101 Action is focused on 'Biometrics for Identity Documents and Smart Cards (BIDS)', while COST 2102 Action is entitled 'Cross-Modal Analysis of Verbal and Non-verbal Communication'. The aim of COST 2101 is to investigate novel technologies for unsupervised multimodal biometric authentication systems using a new generation of biometrics-enabled identity documents and smart cards. COST 2102 is devoted to develop an advanced acoustical, perceptual and psychological analysis of verbal and non-verbal communication signals originating in spontaneous face-to-face interaction, in order to identify algorithms and automatic procedures capable of recognizing human emotional states.
