Multimodal Contactless Biometric Systems

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Multimodal Contactless Biometric Systems

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 468 pages
File Size : 50,7 Mb
Release : 2022-07-10
Category : Technology & Engineering
ISBN : PKEY:6610000378920

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Multimodal Contactless Biometric Systems by Fouad Sabry Pdf

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.

Multimodal Biometric Systems

Author : Rashmi Gupta,Manju Khari
Publisher : CRC Press
Page : 167 pages
File Size : 51,6 Mb
Release : 2021-09-26
Category : Computers
ISBN : 9781000453775

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Multimodal Biometric Systems by Rashmi Gupta,Manju Khari Pdf

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.

Multimodal Biometrics and Intelligent Image Processing for Security Systems

Author : Marina L. Gavrilova,Maruf Monwar
Publisher : IGI Global
Page : 233 pages
File Size : 53,8 Mb
Release : 2013-03-31
Category : Law
ISBN : 9781466636477

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Multimodal Biometrics and Intelligent Image Processing for Security Systems by Marina L. Gavrilova,Maruf Monwar Pdf

"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.

Biometric Systems

Author : Loris Nanni,Sheryl Brahnam
Publisher : MDPI
Page : 352 pages
File Size : 54,6 Mb
Release : 2021-09-01
Category : Technology & Engineering
ISBN : 9783036511283

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Biometric Systems by Loris Nanni,Sheryl Brahnam Pdf

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.

Multimodal Biometric and Machine Learning Technologies

Author : Sandeep Kumar,Deepika Ghai,Arpit Jain,Suman Lata Tripathi,Shilpa Rani
Publisher : John Wiley & Sons
Page : 340 pages
File Size : 44,9 Mb
Release : 2023-10-18
Category : Computers
ISBN : 9781119785477

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Multimodal Biometric and Machine Learning Technologies by Sandeep Kumar,Deepika Ghai,Arpit Jain,Suman Lata Tripathi,Shilpa Rani Pdf

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.

Biometric ID Management and Multimodal Communication

Author : Julian Fierrez,Javier Ortega-Garcia,Anna Esposito,Andrzej Drygajlo,Marcos Faundez-Zanuy
Publisher : Springer Science & Business Media
Page : 371 pages
File Size : 49,8 Mb
Release : 2009-09-07
Category : Computers
ISBN : 9783642043901

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Biometric ID Management and Multimodal Communication by Julian Fierrez,Javier Ortega-Garcia,Anna Esposito,Andrzej Drygajlo,Marcos Faundez-Zanuy Pdf

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.

Adaptive Biometric Systems

Author : Ajita Rattani,Fabio Roli,Eric Granger
Publisher : Springer
Page : 134 pages
File Size : 49,5 Mb
Release : 2015-10-22
Category : Computers
ISBN : 9783319248653

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Adaptive Biometric Systems by Ajita Rattani,Fabio Roli,Eric Granger Pdf

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.

Multimodal Biometric Identification System

Author : Sampada Dhole,Vinayak Bairagi
Publisher : Unknown
Page : 0 pages
File Size : 46,8 Mb
Release : 2024-10-30
Category : Computers
ISBN : 1032660589

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Multimodal Biometric Identification System by Sampada Dhole,Vinayak Bairagi Pdf

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.

Touchless Fingerprint Biometrics

Author : Ruggero Donida Labati,Vincenzo Piuri,Fabio Scotti
Publisher : CRC Press
Page : 242 pages
File Size : 55,8 Mb
Release : 2015-08-14
Category : Computers
ISBN : 9781498707626

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Touchless Fingerprint Biometrics by Ruggero Donida Labati,Vincenzo Piuri,Fabio Scotti Pdf

Offering the first comprehensive analysis of touchless fingerprint-recognition technologies, Touchless Fingerprint Biometrics gives an overview of the state of the art and describes relevant industrial applications. It also presents new techniques to efficiently and effectively implement advanced solutions based on touchless fingerprinting.The most

Unimodal and Multimodal Biometric Data Indexing

Author : Somnath Dey,Debasis Samanta
Publisher : Walter de Gruyter GmbH & Co KG
Page : 357 pages
File Size : 48,8 Mb
Release : 2015-01-20
Category : Technology & Engineering
ISBN : 9781614516293

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Unimodal and Multimodal Biometric Data Indexing by Somnath Dey,Debasis Samanta Pdf

This work is on biometric data indexing for large-scale identification systems with a focus on different biometrics data indexing methods. It provides state-of-the-art coverage including different biometric traits, together with the pros and cons for each. Discussion of different multimodal fusion strategies are also included.

Handbook of Multibiometrics

Author : Arun A. Ross,Karthik Nandakumar,Anil K. Jain
Publisher : Springer Science & Business Media
Page : 218 pages
File Size : 52,8 Mb
Release : 2006-08-11
Category : Computers
ISBN : 9780387331232

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Handbook of Multibiometrics by Arun A. Ross,Karthik Nandakumar,Anil K. Jain Pdf

Details multimodal biometrics and its exceptional utility for increasingly reliable human recognition systems. Reveals the substantial advantages of multimodal systems over conventional identification methods.

Biometrics in a Data Driven World

Author : Sinjini Mitra,Mikhail Gofman
Publisher : CRC Press
Page : 361 pages
File Size : 53,6 Mb
Release : 2016-12-01
Category : Computers
ISBN : 9781315317069

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Biometrics in a Data Driven World by Sinjini Mitra,Mikhail Gofman Pdf

Biometrics in a Data Driven World: Trends, Technologies, and Challenges aims to inform readers about the modern applications of biometrics in the context of a data-driven society, to familiarize them with the rich history of biometrics, and to provide them with a glimpse into the future of biometrics. The first section of the book discusses the fundamentals of biometrics and provides an overview of common biometric modalities, namely face, fingerprints, iris, and voice. It also discusses the history of the field, and provides an overview of emerging trends and opportunities. The second section of the book introduces readers to a wide range of biometric applications. The next part of the book is dedicated to the discussion of case studies of biometric modalities currently used on mobile applications. As smartphones and tablet computers are rapidly becoming the dominant consumer computer platforms, biometrics-based authentication is emerging as an integral part of protecting mobile devices against unauthorized access, while enabling new and highly popular applications, such as secure online payment authorization. The book concludes with a discussion of future trends and opportunities in the field of biometrics, which will pave the way for advancing research in the area of biometrics, and for the deployment of biometric technologies in real-world applications. The book is designed for individuals interested in exploring the contemporary applications of biometrics, from students to researchers and practitioners working in this field. Both undergraduate and graduate students enrolled in college-level security courses will also find this book to be an especially useful companion.

Multimodal Fusion of Iris and Fingerprint

Author : Bhavesh Pandya,Vinayak Bharadi,Hemchandra Kekre
Publisher : LAP Lambert Academic Publishing
Page : 104 pages
File Size : 45,9 Mb
Release : 2014-03-01
Category : Electronic
ISBN : 3848432439

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Multimodal Fusion of Iris and Fingerprint by Bhavesh Pandya,Vinayak Bharadi,Hemchandra Kekre Pdf

Biometrics systems perform authentication based on human body features, systems based on only one kind of biometric trait are generally called as unimodal biometric systems. The performance and scalability of a biometric system can be increased by combining more than one biometric trait. Such systems are called as multimodal biometric systems. Being less intrusive and universal fingerprint based systems serve as good option for access control and surveillance. Iris recognition enjoys universality, high degree of uniqueness and moderate user co-operation. This makes Fingerprint & Iris recognition systems unavoidable in emerging security & authentication mechanisms. This book is focusing on a multimodal implementation of Fingerprint & Iris. Fingerprint and Iris features are extracted using multilevel decomposition of captured image data using a new family of wavelet called Hybrid Wavelet type-I and type-II. Feature vector of iris and fingerprint are combined using decision fusion technique and their performance is studied here.

Face Biometrics for Personal Identification

Author : Besma Abidi,Mongi A. Abidi
Publisher : Springer Science & Business Media
Page : 276 pages
File Size : 45,8 Mb
Release : 2007-04-08
Category : Computers
ISBN : 9783540493464

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Face Biometrics for Personal Identification by Besma Abidi,Mongi A. Abidi Pdf

This book provides ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems.

Biometrics

Author : N. V. Boulgouris,Konstantinos N. Plataniotis,Evangelia Micheli-Tzanakou
Publisher : John Wiley & Sons
Page : 763 pages
File Size : 53,6 Mb
Release : 2009-10-29
Category : Computers
ISBN : 9780470522349

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Biometrics by N. V. Boulgouris,Konstantinos N. Plataniotis,Evangelia Micheli-Tzanakou Pdf

Edited by a panel of experts, this book fills a gap in the existing literature by comprehensively covering system, processing, and application aspects of biometrics, based on a wide variety of biometric traits. The book provides an extensive survey of biometrics theory, methods,and applications, making it an indispensable source of information for researchers, security experts, policy makers, engineers, practitioners, and graduate students. The book's wide and in-depth coverage of biometrics enables readers to build a strong, fundamental understanding of theory and methods, and provides a foundation for solutions to many of today’s most interesting and challenging biometric problems. Biometric traits covered: Face, Fingerprint, Iris, Gait, Hand Geometry, Signature, Electrocardiogram (ECG), Electroencephalogram (EEG), physiological biometrics. Theory, Methods and Applications covered: Multilinear Discriminant Analysis, Neural Networks for biometrics, classifier design, biometric fusion, Event-Related Potentials, person-specific characteristic feature selection, image and video-based face, recognition/verification, near-infrared face recognition, elastic graph matching, super-resolution of facial images, multimodal solutions, 3D approaches to biometrics, facial aging models for recognition, information theory approaches to biometrics, biologically-inspired methods, biometric encryption, decision-making support in biometric systems, privacy in biometrics.