Biometric Identification Technologies Based On Modern Data Mining Methods

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Biometric Identification Technologies Based on Modern Data Mining Methods

Author : Stepan Bilan,Mohamed Elhoseny,D. Jude Hemanth
Publisher : Springer Nature
Page : 203 pages
File Size : 48,6 Mb
Release : 2020-12-03
Category : Technology & Engineering
ISBN : 9783030483784

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Biometric Identification Technologies Based on Modern Data Mining Methods by Stepan Bilan,Mohamed Elhoseny,D. Jude Hemanth Pdf

This book emphasizes recent advances in the creation of biometric identification systems for various applications in the field of human activity. The book displays the problems that arise in modern systems of biometric identification, as well as the level of development and prospects for the introduction of biometric technologies. The authors classify biometric technologies into two groups, distinguished according to the type of biometric characteristics used. The first group uses static biometric parameters: fingerprints, hand geometry, retina pattern, vein pattern on the finger, etc. The second group uses dynamic parameters for identification: the dynamics of the reproduction of a signature or a handwritten keyword, voice, gait, dynamics of work on the keyboard, etc. The directions of building information systems that use automatic personality identification based on the analysis of unique biometric characteristics of a person are discussed. The book is intended for professionals working and conducting research in the field of intelligent information processing, information security, and robotics and in the field of real-time identification systems. The book contains examples and problems/solutions throughout.

Biometric Data in Smart Cities

Author : Stepan Bilan,Mykola Bilan,Ruslan Motornyuk,Serhii Yuzhakov
Publisher : CRC Press
Page : 228 pages
File Size : 48,5 Mb
Release : 2021-07-18
Category : Technology & Engineering
ISBN : 9781000412420

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Biometric Data in Smart Cities by Stepan Bilan,Mykola Bilan,Ruslan Motornyuk,Serhii Yuzhakov Pdf

covers the theoretical foundations of building a biometric multisensor network, which allowsto create a unified urban biometric community provides foundations of the parallel shift technology and the Radon transformation on cellular automata with a hexagonal covering discusses the methods of biometric identification by gait parameters and the geometric shape of the auricle, which are effectively used in a smart city serves as a great resource for undergraduate, graduate students and specialists working and conducting research in the field of biometric information processing, as well as in the development and construction of distributed intelligent systems

Biometric System and Data Analysis

Author : Ted Dunstone,Neil Yager
Publisher : Springer Science & Business Media
Page : 282 pages
File Size : 53,7 Mb
Release : 2008-10-31
Category : Computers
ISBN : 9780387776279

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Biometric System and Data Analysis by Ted Dunstone,Neil Yager Pdf

This book brings together aspects of statistics and machine learning to provide a comprehensive guide to evaluating, interpreting and understanding biometric data. It naturally leads to topics including data mining and prediction to be examined in detail. The book places an emphasis on the various performance measures available for biometric systems, what they mean, and when they should and should not be applied. The evaluation techniques are presented rigorously, however they are always accompanied by intuitive explanations. This is important for the increased acceptance of biometrics among non-technical decision makers, and ultimately the general public.

Biometrics in a Data Driven World

Author : Sinjini Mitra,Mikhail Gofman
Publisher : CRC Press
Page : 361 pages
File Size : 53,8 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.

Biometric Security and Privacy

Author : Richard Jiang,Somaya Al-maadeed,Ahmed Bouridane,Prof. Danny Crookes,Azeddine Beghdadi
Publisher : Springer
Page : 423 pages
File Size : 47,6 Mb
Release : 2016-12-21
Category : Technology & Engineering
ISBN : 9783319473017

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Biometric Security and Privacy by Richard Jiang,Somaya Al-maadeed,Ahmed Bouridane,Prof. Danny Crookes,Azeddine Beghdadi Pdf

This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as cancellable biometrics and soft biometrics. The book also focuses on several emerging topics such as big data issues, internet of things, medical biometrics, healthcare, and robot-human interactions. The authors show how these new applications have triggered a number of new biometric approaches. They show, as an example, how fuzzy extractor has become a useful tool for key generation in biometric banking, and vein/heart rates from medical records can also be used to identify patients. The contributors cover the topics, their methods, and their applications in depth.

Public Policy and Technological Transformations in Africa

Author : Gedion Onyango
Publisher : Springer Nature
Page : 431 pages
File Size : 43,7 Mb
Release : 2023-07-31
Category : Political Science
ISBN : 9783031187049

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Public Policy and Technological Transformations in Africa by Gedion Onyango Pdf

This book examines the links between public policy and Fourth Industrial Revolution (4IR) technological developments in Africa. It broadly assesses three key areas – policy entrepreneurship, policy tools and citizen participation – in order to better understand the interfaces between public policy and technological transformations in African countries. The book presents incisive case studies on topics including AI policies, mobile money, e-budgeting, digital economy, digital agriculture and digital ethical dilemmas in order to illuminate technological proliferation in African policy systems. Its analysis considers the broader contexts of African state politics and governance. It will appeal to students, instructors, researchers and practitioners interested in governance and digital transformations in developing countries.

Future And Fintech, The: Abcdi And Beyond

Author : Jun Xu
Publisher : World Scientific
Page : 553 pages
File Size : 49,8 Mb
Release : 2022-05-05
Category : Business & Economics
ISBN : 9789811250910

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Future And Fintech, The: Abcdi And Beyond by Jun Xu Pdf

The Future and FinTech examines the fundamental financial technologies and its growing impact on the Banking, Financial Services and Insurance (BFSI) sectors. With global investment amounting to more than $100 billion in 2020, the proliferation of FinTech has underpinned the direction payments, loans, wealth management, insurance, and cryptocurrencies are heading.This book presents FinTech from an industrial perspective in the context of architecture and its basic building blocks, e.g., Artificial Intelligence (AI), Blockchain, Cloud, Big Data, Internet of Things (IoT), and its connections to real-life applications at work. It provides a detailed guidance on how FinTech digitalizes business operations, improves productivity and efficiency, and optimizes resource management with the help of some new concepts, such as AIOps, MLOps and DevSecOps. Readers will also discover how FinTech Innovations connect BFSI to the rest of the world with growing interests in Open Banking, Banking-as-a-Service (BaaS) and FinTech-as-a-Service (FaaS).To help readers understand how FinTech has unlocked numerous opportunities for tapping into the massive substantial group of customers, this book illustrates the massive changes already underway and provides insights into changes yet to come through practical examples and applications with illustrative figures and summary tables, making this book a handy quick reference for all things of FinTech.Related Link(s)

Advances in Biometrics for Secure Human Authentication and Recognition

Author : Dakshina Ranjan Kisku,Phalguni Gupta,Jamuna Kanta Sing
Publisher : CRC Press
Page : 354 pages
File Size : 42,7 Mb
Release : 2013-12-09
Category : Computers
ISBN : 9781466582422

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Advances in Biometrics for Secure Human Authentication and Recognition by Dakshina Ranjan Kisku,Phalguni Gupta,Jamuna Kanta Sing Pdf

Although biometric systems present powerful alternatives to traditional authentication schemes, there are still many concerns about their security. Advances in Biometrics for Secure Human Authentication and Recognition showcases some of the latest technologies and algorithms being used for human authentication and recognition. Examining the full range of biometrics solutions, including unimodal and multimodal biometrics, the book covers conventional techniques as well as novel systems that have been developed over the past few years. It presents new biometric algorithms with novel feature extraction techniques, new computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems. Filled with comprehensive graphical and modular illustrations, the text covers applications of affective computing in biometrics, matching sketch to photograph, cryptography approaches in biometrics, biometrics alteration, heterogeneous biometrics, and age invariant biometrics. It also presents biometrics algorithms with novel feature extraction techniques, computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems. Containing the work of some of the world’s most respected biometrics researchers, the book includes model question papers, mathematical notations, and exercises to reinforce understanding. Providing an up-to-date review of intelligence techniques and theories used in biometric technologies for secure human authentication and identification, this is an essential reference for researchers, scholars, graduate students, engineers, practitioners, and developers in the field of biometrics and its related fields.

Designing Smart and Resilient Cities for a Post-Pandemic World

Author : Anthony Larsson,Andreas Hatzigeorgiou
Publisher : Taylor & Francis
Page : 315 pages
File Size : 46,7 Mb
Release : 2022-08-31
Category : Business & Economics
ISBN : 9781000636055

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Designing Smart and Resilient Cities for a Post-Pandemic World by Anthony Larsson,Andreas Hatzigeorgiou Pdf

Are pandemics the end of cities? Or, do they present an opportunity for us to reshape cities in ways making us even more innovative, successful and sustainable? Pandemics such as COVID-19 (and comparable disruptions) have caused intense debates over the future of cities. Through a series of investigative studies, Designing Smart and Resilient Cities for a Post-Pandemic World: Metropandemic Revolution seeks to critically discuss and compare different cases, innovations and approaches as to how cities can utilise nascent and future digital technology and/or new strategies in order to build stronger resilience to better tackle comparable large-scale pandemics and/or disruptions in the future. The authors identify ten separate societal areas where future digital technology can impact resilience. These are discussed in individual chapters. Each chapter concludes with a set of proposed "action points" based on the conclusions of each respective study. These serve as solid policy recommendations of what courses of action to take, to help increase the resilience in smart cities for each designated area. Securing resilience and cohesion between each area will bring about the metropandemic revolution. This book features a foreword by Nobel laureate Peter C. Doherty and an afterword by Professor of Urban Technologies, Carlo Ratti. It provides fresh and unique insights on smart cities and futures studies in a pandemic context, offers profound reflections on contemporary societal functions and the needs to build resilience and combines lessons learned from historical pandemics with possibilities offered by future technology.

Introduction to Biometrics

Author : Anil K. Jain,Arun A. Ross,Karthik Nandakumar
Publisher : Springer Science & Business Media
Page : 326 pages
File Size : 46,9 Mb
Release : 2011-11-18
Category : Computers
ISBN : 9780387773261

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Introduction to Biometrics by Anil K. Jain,Arun A. Ross,Karthik Nandakumar Pdf

Biometric recognition, or simply biometrics, is the science of establishing the identity of a person based on physical or behavioral attributes. It is a rapidly evolving field with applications ranging from securely accessing one’s computer to gaining entry into a country. While the deployment of large-scale biometric systems in both commercial and government applications has increased the public awareness of this technology, "Introduction to Biometrics" is the first textbook to introduce the fundamentals of Biometrics to undergraduate/graduate students. The three commonly used modalities in the biometrics field, namely, fingerprint, face, and iris are covered in detail in this book. Few other modalities like hand geometry, ear, and gait are also discussed briefly along with advanced topics such as multibiometric systems and security of biometric systems. Exercises for each chapter will be available on the book website to help students gain a better understanding of the topics and obtain practical experience in designing computer programs for biometric applications. These can be found at: http://www.csee.wvu.edu/~ross/BiometricsTextBook/. Designed for undergraduate and graduate students in computer science and electrical engineering, "Introduction to Biometrics" is also suitable for researchers and biometric and computer security professionals.

Biometrics: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1852 pages
File Size : 50,6 Mb
Release : 2016-08-30
Category : Social Science
ISBN : 9781522509844

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Biometrics: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

Security and authentication issues are surging to the forefront of the research realm in global society. As technology continues to evolve, individuals are finding it easier to infiltrate various forums and facilities where they can illegally obtain information and access. By implementing biometric authentications to these forums, users are able to prevent attacks on their privacy and security. Biometrics: Concepts, Methodologies, Tools, and Applications is a multi-volume publication highlighting critical topics related to access control, user identification, and surveillance technologies. Featuring emergent research on the issues and challenges in security and privacy, various forms of user authentication, biometric applications to image processing and computer vision, and security applications within the field, this publication is an ideal reference source for researchers, engineers, technology developers, students, and security specialists.

Biometric-Based Physical and Cybersecurity Systems

Author : Mohammad S. Obaidat,Issa Traore,Isaac Woungang
Publisher : Springer
Page : 590 pages
File Size : 45,9 Mb
Release : 2018-10-24
Category : Technology & Engineering
ISBN : 9783319987347

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Biometric-Based Physical and Cybersecurity Systems by Mohammad S. Obaidat,Issa Traore,Isaac Woungang Pdf

This book presents the latest developments in biometrics technologies and reports on new approaches, methods, findings, and technologies developed or being developed by the research community and the industry. The book focuses on introducing fundamental principles and concepts of key enabling technologies for biometric systems applied for both physical and cyber security. The authors disseminate recent research and developing efforts in this area, investigate related trends and challenges, and present case studies and examples such as fingerprint, face, iris, retina, keystroke dynamics, and voice applications . The authors also investigate the advances and future outcomes in research and development in biometric security systems. The book is applicable to students, instructors, researchers, industry practitioners, and related government agencies staff. Each chapter is accompanied by a set of PowerPoint slides for use by instructors.

Biometric Authentication in Online Learning Environments

Author : Kumar, A.V. Senthil
Publisher : IGI Global
Page : 314 pages
File Size : 40,6 Mb
Release : 2019-02-15
Category : Education
ISBN : 9781522577256

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Biometric Authentication in Online Learning Environments by Kumar, A.V. Senthil Pdf

Student assessment in online learning is submitted remotely without any face-to-face interaction, and therefore, student authentication is widely seen as one of the major challenges in online examination. Authentication is the process of determining whether someone or something is, in fact, who or what it is declared to be. As the dependence upon computers and computer networks grows, especially within education, the need for authentication has increased. Biometric Authentication in Online Learning Environments provides innovative insights into biometrics as a strategy to mitigate risk and provide authentication, while introducing a framework that provides security to improve e-learning and on-line examination by utilizing biometric-based authentication techniques. This book examines e-learning, security, threats in online exams, security considerations, and biometric technologies, and is designed for IT professionals, higher education administrators, professors, researchers, business professionals, academicians, and libraries seeking topics centered on biometrics as an authentication strategy within educational environments.

Machine Learning for Biometrics

Author : Partha Pratim Sarangi,Madhumita Panda,Subhashree Mishra,Bhabani Shankar Prasad Mishra,Banshidhar Majhi
Publisher : Academic Press
Page : 266 pages
File Size : 50,9 Mb
Release : 2022-01-21
Category : Computers
ISBN : 9780323903394

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Machine Learning for Biometrics by Partha Pratim Sarangi,Madhumita Panda,Subhashree Mishra,Bhabani Shankar Prasad Mishra,Banshidhar Majhi Pdf

Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can be adopted in this direction. Each chapter of the volume is supported by real-life case studies, illustrative examples and video demonstrations. The book elucidates various biometric concepts, algorithms and applications with machine intelligence solutions, providing guidance on best practices for new technologies such as e-health solutions, Data science, Cloud computing, and Internet of Things, etc. In each section, different machine learning concepts and algorithms are used, such as different object detection techniques, image enhancement techniques, both global and local feature extraction techniques, and classifiers those are commonly used data science techniques. These biometrics techniques can be used as tools in Cloud computing, Mobile computing, IOT based applications, and e-health care systems for secure login, device access control, personal recognition and surveillance. Covers different machine intelligence concepts, algorithms and applications in the field of cybersecurity, e-health monitoring, secure cloud computing and secure IOT based operations Explores advanced approaches to improve recognition performance of biometric systems with the use of recent machine intelligence techniques Introduces detection or segmentation techniques to detect biometric characteristics from the background in the input sample

Deep Learning for Biometrics

Author : Bir Bhanu,Ajay Kumar
Publisher : Springer
Page : 312 pages
File Size : 44,7 Mb
Release : 2017-08-01
Category : Computers
ISBN : 9783319616575

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Deep Learning for Biometrics by Bir Bhanu,Ajay Kumar Pdf

This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined. Topics and features: addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalities; revisits deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches for gesture-based identification, gender classification, and tattoo recognition; investigates deep learning for biometrics security, covering biometrics template protection methods, and liveness detection to protect against fake biometrics samples; presents contributions from a global selection of pre-eminent experts in the field representing academia, industry and government laboratories. Providing both an accessible introduction to the practical applications of deep learning in biometrics, and a comprehensive coverage of the entire spectrum of biometric modalities, this authoritative volume will be of great interest to all researchers, practitioners and students involved in related areas of computer vision, pattern recognition and machine learning.