Multimodal Biometric And Machine Learning Technologies

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Multimodal Biometric and Machine Learning Technologies

Sandeep Kumar,Deepika Ghai,Arpit Jain,Suman Lata Tripathi,Shilpa Rani

Author : Sandeep Kumar,Deepika Ghai,Arpit Jain,Suman Lata Tripathi,Shilpa Rani
Publisher : John Wiley & Sons
Page : 340 pages
File Size : 53,5 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.

Machine Learning for Biometrics

Partha Pratim Sarangi,Madhumita Panda,Subhashree Mishra,Bhabani Shankar Prasad Mishra,Banshidhar Majhi

Author : Partha Pratim Sarangi,Madhumita Panda,Subhashree Mishra,Bhabani Shankar Prasad Mishra,Banshidhar Majhi
Publisher : Academic Press
Page : 266 pages
File Size : 40,7 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

Multimodal Biometric Systems

Rashmi Gupta,Manju Khari

Author : Rashmi Gupta,Manju Khari
Publisher : CRC Press
Page : 167 pages
File Size : 47,8 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

Marina L. Gavrilova,Maruf Monwar

Author : Marina L. Gavrilova,Maruf Monwar
Publisher : IGI Global
Page : 233 pages
File Size : 41,7 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.

AI and Deep Learning in Biometric Security

Gaurav Jaswal,Vivek Kanhangad,Raghavendra Ramachandra

Author : Gaurav Jaswal,Vivek Kanhangad,Raghavendra Ramachandra
Publisher : CRC Press
Page : 409 pages
File Size : 45,8 Mb
Release : 2021-03-22
Category : Technology & Engineering
ISBN : 9781000291667

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AI and Deep Learning in Biometric Security by Gaurav Jaswal,Vivek Kanhangad,Raghavendra Ramachandra Pdf

This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexing, template protection, spoofing attack detection, ROI detection, gender classification etc. This text highlights a showcase of cutting-edge research on the use of convolution neural networks, autoencoders, recurrent convolutional neural networks in face, hand, iris, gait, fingerprint, vein, and medical biometric traits. It also provides a step-by-step guide to understanding deep learning concepts for biometrics authentication approaches and presents an analysis of biometric images under various environmental conditions. This book is sure to catch the attention of scholars, researchers, practitioners, and technology aspirants who are willing to research in the field of AI and biometric security.

SECURE MULTIMODAL BIOMETRIC AUTHENTICATION SYSTEM INVOLVING EAR, FINGERPRINT AND VOICE RECOGNITION IN CLOUD COMPUTING

R. Parimala

Author : R. Parimala
Publisher : Ary Publisher
Page : 0 pages
File Size : 47,5 Mb
Release : 2023-02-25
Category : Electronic
ISBN : 936831067X

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SECURE MULTIMODAL BIOMETRIC AUTHENTICATION SYSTEM INVOLVING EAR, FINGERPRINT AND VOICE RECOGNITION IN CLOUD COMPUTING by R. Parimala Pdf

Secure multimodal biometric authentication is a process of using multiple biometric traits to authenticate a user's identity. This approach offers increased security by combining the strengths of different biometric authentication techniques, such as fingerprint recognition, iris recognition, face recognition, voice recognition, and behavioral biometrics. By combining multiple biometric traits, the risk of false positives and false negatives can be reduced, providing a more reliable and secure authentication process. Machine learning and artificial intelligence algorithms can be used to develop secure multimodal biometric authentication systems that can adapt to changing user behavior and environmental conditions. Deep learning techniques can also be used to enhance the accuracy and efficiency of biometric recognition. Cryptography plays a vital role in securing the biometric data and ensuring the privacy of the users. The biometric data should be encrypted before transmission, and the encryption keys must be securely stored and managed. Overall, secure multimodal biometric authentication can provide a reliable and secure authentication process for user identification and access control. The combination of different biometric traits and machine learning algorithms can enhance the accuracy and efficiency of the authentication process, ensuring the privacy and security of the users

Biometric Authentication

Sun Yuan Kung,M. W. Mak,Shang-Hung Lin

Author : Sun Yuan Kung,M. W. Mak,Shang-Hung Lin
Publisher : Prentice Hall
Page : 504 pages
File Size : 54,9 Mb
Release : 2005
Category : Computers
ISBN : UOM:39015060400374

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Biometric Authentication by Sun Yuan Kung,M. W. Mak,Shang-Hung Lin Pdf

A breakthrough approach to improving biometrics performanceConstructing robust information processing systems for face and voice recognitionSupporting high-performance data fusion in multimodal systemsAlgorithms, implementation techniques, and application examples Machine learning: driving significant improvements in biometric performance As they improve, biometric authentication systems are becoming increasingly indispensable for protecting life and property. This book introduces powerful machine learning techniques that significantly improve biometric performance in a broad spectrum of application domains. Three leading researchers bridge the gap between research, design, and deployment, introducing key algorithms as well as practical implementation techniques. They demonstrate how to construct robust information processing systems for biometric authentication in both face and voice recognition systems, and to support data fusion in multimodal systems. Coverage includes: How machine learning approaches differ from conventional template matchingTheoretical pillars of machine learning for complex pattern recognition and classificationExpectation-maximization (EM) algorithms and support vector machines (SVM)Multi-layer learning models and back-propagation (BP) algorithmsProbabilistic decision-based neural networks (PDNNs) for face biometricsFlexible structural frameworks for incorporating machine learning subsystems in biometric applicationsHierarchical mixture of experts and inter-class learning strategies based on class-based modular networksMulti-cue data fusion techniques that integrate face and voice recognitionApplication case studies

Deep Learning in Biometrics

Mayank Vatsa,Richa Singh,Angshul Majumdar

Author : Mayank Vatsa,Richa Singh,Angshul Majumdar
Publisher : CRC Press
Page : 316 pages
File Size : 45,5 Mb
Release : 2018-03-05
Category : Computers
ISBN : 9781351264990

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Deep Learning in Biometrics by Mayank Vatsa,Richa Singh,Angshul Majumdar Pdf

Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics. This book covers topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoencoders. The focus is also on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints, while examining the future trends in deep learning and biometric research. Contains chapters written by authors who are leading researchers in biometrics. Presents a comprehensive overview on the internal mechanisms of deep learning. Discusses the latest developments in biometric research. Examines future trends in deep learning and biometric research. Provides extensive references at the end of each chapter to enhance further study.

Intelligent Systems

Chiranji Lal Chowdhary

Author : Chiranji Lal Chowdhary
Publisher : CRC Press
Page : 288 pages
File Size : 55,6 Mb
Release : 2020-01-06
Category : Business & Economics
ISBN : 9780429560040

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Intelligent Systems by Chiranji Lal Chowdhary Pdf

This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality research that presents the current trends, advanced methods, and hybridized techniques relating to data analytics and intelligent systems. The book also features case studies related to medical diagnosis with the use of image processing and soft computing algorithms in particular models. Providing extensive coverage of biometric systems, soft computing, image processing, artificial intelligence, and data analytics, the chapter authors discuss the latest research issues, present solutions to research problems, and look at comparative analysis with earlier results. Topics include some of the most important challenges and discoveries in intelligent systems today, such as computer vision concepts and image identification, data analysis and computational paradigms, deep learning techniques, face and speaker recognition systems, and more.

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)

Aboul Ella Hassanien,Mohamed F. Tolba,Mohamed Elhoseny,Mohamed Mostafa

Author : Aboul Ella Hassanien,Mohamed F. Tolba,Mohamed Elhoseny,Mohamed Mostafa
Publisher : Springer
Page : 717 pages
File Size : 55,7 Mb
Release : 2018-01-25
Category : Technology & Engineering
ISBN : 9783319746906

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The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) by Aboul Ella Hassanien,Mohamed F. Tolba,Mohamed Elhoseny,Mohamed Mostafa Pdf

This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018, held in Cairo, Egypt, on February 22–24, 2018, and organized by the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic, security, and intelligence swarms and optimization.

Advances in Biometrics

G.R. Sinha

Author : G.R. Sinha
Publisher : Springer Nature
Page : 360 pages
File Size : 49,8 Mb
Release : 2019-12-13
Category : Medical
ISBN : 9783030304362

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Advances in Biometrics by G.R. Sinha Pdf

This book provides a framework for robust and novel biometric techniques, along with implementation and design strategies. The theory, principles, pragmatic and modern methods, and future directions of biometrics are presented, along with in-depth coverage of biometric applications in driverless cars, automated and AI-based systems, IoT, and wearable devices. Additional coverage includes computer vision and pattern recognition, cybersecurity, cognitive computing, soft biometrics, and the social impact of biometric technology. The book will be a valuable reference for researchers, faculty, and practicing professionals working in biometrics and related fields, such as image processing, computer vision, and artificial intelligence. Highlights robust and novel biometrics techniques Provides implementation strategies and future research directions in the field of biometrics Includes case studies and emerging applications

Deep Learning for Biometrics

Bir Bhanu,Ajay Kumar

Author : Bir Bhanu,Ajay Kumar
Publisher : Springer
Page : 312 pages
File Size : 55,6 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.

Advances in Biometrics for Secure Human Authentication and Recognition

Dakshina Ranjan Kisku,Phalguni Gupta,Jamuna Kanta Sing

Author : Dakshina Ranjan Kisku,Phalguni Gupta,Jamuna Kanta Sing
Publisher : CRC Press
Page : 354 pages
File Size : 47,6 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.

Machine Learning and Biometrics

Jucheng Yang,Dong Sun Park,Sook Yoon,Yarui Chen,Chuanlei Zhang

Author : Jucheng Yang,Dong Sun Park,Sook Yoon,Yarui Chen,Chuanlei Zhang
Publisher : BoD – Books on Demand
Page : 148 pages
File Size : 42,7 Mb
Release : 2018-08-29
Category : Computers
ISBN : 9781789235906

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Machine Learning and Biometrics by Jucheng Yang,Dong Sun Park,Sook Yoon,Yarui Chen,Chuanlei Zhang Pdf

We are entering the era of big data, and machine learning can be used to analyze this deluge of data automatically. Machine learning has been used to solve many interesting and often difficult real-world problems, and the biometrics is one of the leading applications of machine learning. This book introduces some new techniques on biometrics and machine learning, and new proposals of using machine learning techniques for biometrics as well. This book consists of two parts: "Biometrics" and "Machine Learning for Biometrics." Parts I and II contain four and three chapters, respectively. The book is reviewed by editors: Prof. Jucheng Yang, Prof. Dong Sun Park, Prof. Sook Yoon, Dr. Yarui Chen, and Dr. Chuanlei Zhang.

Advances in Manufacturing Technology XXXV

M. Shafik,K. Case

Author : M. Shafik,K. Case
Publisher : IOS Press
Page : 416 pages
File Size : 43,7 Mb
Release : 2022-11-23
Category : Technology & Engineering
ISBN : 9781643683317

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Advances in Manufacturing Technology XXXV by M. Shafik,K. Case Pdf

Within the context of Industrial 4.0 and beyond, developing and managing the technologies and operations key to sustaining the success of manufacturing businesses is crucial, and the promotion of manufacturing-engineering education, training, and research is of vital importance. This book presents the proceedings of ICMR 2022, the 19th International Conference in Manufacturing Research, Incorporating the 36th National Conference in Manufacturing Research, held in Derby, UK, from 6 - 8 September 2022. For over two decades, ICMR has been the main manufacturing research conference held in the UK. Bringing together researchers, academics, and industrialists to share their knowledge and experience, the conference provides a friendly and inclusive platform for a broad community of researchers who share the common goal of making digital and advanced manufacturing as efficient and effective as possible. The theme of ICMR2022 is smart manufacturing. Of the 78 papers submitted, 58 were accepted for presentation after review and are included here. This represents an acceptance rate of 72%. The book is divided into 8 sections: smart manufacturing; digital manufacturing; additive manufacturing; robotics and industrial automation; composite manufacturing and machining processes; product design, development and quality management; information and knowledge management; and decision support and production optimization. Exploring all core areas of digital and advanced manufacturing engineering, the book will be of interest to all those working in the field.

Multimodal Biometric And Machine Learning Technologies

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

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

Multimodal Biometric Systems by Rashmi Gupta,Manju Khari Pdf

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

AI and Deep Learning in Biometric Security by Gaurav Jaswal,Vivek Kanhangad,Raghavendra Ramachandra Pdf

SECURE MULTIMODAL BIOMETRIC AUTHENTICATION SYSTEM INVOLVING EAR, FINGERPRINT AND VOICE RECOGNITION IN CLOUD COMPUTING by R. Parimala Pdf

Biometric Authentication by Sun Yuan Kung,M. W. Mak,Shang-Hung Lin Pdf

Deep Learning in Biometrics by Mayank Vatsa,Richa Singh,Angshul Majumdar Pdf

Intelligent Systems by Chiranji Lal Chowdhary Pdf

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) by Aboul Ella Hassanien,Mohamed F. Tolba,Mohamed Elhoseny,Mohamed Mostafa Pdf

Advances in Biometrics by G.R. Sinha Pdf

Deep Learning for Biometrics by Bir Bhanu,Ajay Kumar Pdf

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

Machine Learning and Biometrics by Jucheng Yang,Dong Sun Park,Sook Yoon,Yarui Chen,Chuanlei Zhang Pdf

Advances in Manufacturing Technology XXXV by M. Shafik,K. Case Pdf

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