Machine Learning For Biometrics

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Machine Learning for Biometrics

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

Author : Partha Pratim Sarangi,Madhumita Panda,Subhashree Mishra,Bhabani Shankar Prasad Mishra,Banshidhar Majhi
Publisher : Academic Press
Page : 266 pages
File Size : 42,7 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

Deep Learning in Biometrics

Mayank Vatsa,Richa Singh,Angshul Majumdar
Deep Learning in Biometrics Book PDF

Author : Mayank Vatsa,Richa Singh,Angshul Majumdar
Publisher : CRC Press
Page : 316 pages
File Size : 53,6 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.

AI and Deep Learning in Biometric Security

Gaurav Jaswal,Vivek Kanhangad,Raghavendra Ramachandra
AI and Deep Learning in Biometric Security Book PDF

Author : Gaurav Jaswal,Vivek Kanhangad,Raghavendra Ramachandra
Publisher : CRC Press
Page : 409 pages
File Size : 50,5 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.

Machine Learning and Biometrics

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

Author : Jucheng Yang,Dong Sun Park,Sook Yoon,Yarui Chen,Chuanlei Zhang
Publisher : BoD – Books on Demand
Page : 148 pages
File Size : 50,5 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.

Deep Learning for Biometrics

Bir Bhanu,Ajay Kumar
Deep Learning for Biometrics Book PDF

Author : Bir Bhanu,Ajay Kumar
Publisher : Springer
Page : 312 pages
File Size : 52,6 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.

Biometric Authentication

Sun Yuan Kung,M. W. Mak,Shang-Hung Lin
Biometric Authentication Book PDF

Author : Sun Yuan Kung,M. W. Mak,Shang-Hung Lin
Publisher : Prentice Hall
Page : 504 pages
File Size : 40,7 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

Design and Implementation of Healthcare Biometric Systems

Kisku, Dakshina Ranjan,Gupta, Phalguni,Sing, Jamuna Kanta
Design and Implementation of Healthcare Biometric Systems Book PDF

Author : Kisku, Dakshina Ranjan,Gupta, Phalguni,Sing, Jamuna Kanta
Publisher : IGI Global
Page : 300 pages
File Size : 47,6 Mb
Release : 2019-01-11
Category : Medical
ISBN : 9781522575269

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Design and Implementation of Healthcare Biometric Systems by Kisku, Dakshina Ranjan,Gupta, Phalguni,Sing, Jamuna Kanta Pdf

Healthcare sectors often deal with a large amount of data related to patients’ care and hospital workforce management. Mistakes occur, and the impending results are disastrous for individuals’ personal identity information. However, an innovative and reliable way to safeguard the identity of individuals and provide protection of medical records from criminals is already in effect. Design and Implementation of Healthcare Biometric Systems provides innovative insights into medical identity theft and the benefits behind biometrics technologies that could be offered to protect medical records from hackers and malicious users. The content within this publication represents the work of ASD screening systems, healthcare management, and patient rehabilitation. It is designed for educators, researchers, faculty members, industry practitioners, graduate students, and professionals working with healthcare services and covers topics centered on understanding the practical essence of next-generation healthcare biometrics systems and future research directions.

Machine Learning Techniques for Gait Biometric Recognition

James Eric Mason,Issa Traoré,Isaac Woungang
Machine Learning Techniques for Gait Biometric Recognition Book PDF

Author : James Eric Mason,Issa Traoré,Isaac Woungang
Publisher : Springer
Page : 223 pages
File Size : 40,5 Mb
Release : 2016-02-04
Category : Technology & Engineering
ISBN : 9783319290881

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Machine Learning Techniques for Gait Biometric Recognition by James Eric Mason,Issa Traoré,Isaac Woungang Pdf

This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)-based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an in-depth analysis of existing recognition techniques that are best suited for performing footstep GRF-based person recognition is also proposed, as well as a comparison of feature extractors, normalizers, and classifiers configurations that were never directly compared with one another in any previous GRF recognition research. Finally, a detailed theoretical overview of many existing machine learning techniques is presented, leading to a proposal of two novel data processing techniques developed specifically for the purpose of gait biometric recognition using GRF. This book · introduces novel machine-learning-based temporal normalization techniques · bridges research gaps concerning the effect of footwear and stepping speed on footstep GRF-based person recognition · provides detailed discussions of key research challenges and open research issues in gait biometrics recognition · compares biometrics systems trained and tested with the same footwear against those trained and tested with different footwear

Deep Biometrics

Richard Jiang,Chang-Tsun Li,Danny Crookes,Weizhi Meng,Christophe Rosenberger
Deep Biometrics Book PDF

Author : Richard Jiang,Chang-Tsun Li,Danny Crookes,Weizhi Meng,Christophe Rosenberger
Publisher : Springer Nature
Page : 322 pages
File Size : 53,6 Mb
Release : 2020-01-28
Category : Technology & Engineering
ISBN : 9783030325831

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Deep Biometrics by Richard Jiang,Chang-Tsun Li,Danny Crookes,Weizhi Meng,Christophe Rosenberger Pdf

This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it “Deep Biometrics”. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big biometric data, biometric banking, medical biometrics, healthcare biometrics, and biometric genetics, etc. The goal of this volume is to summarize the recent advances in using Deep Learning in the area of biometric security and privacy toward deeper and wider applications. Highlights the impact of deep learning over the field of biometrics in a wide area; Exploits the deeper and wider background of biometrics, such as privacy versus security, biometric big data, biometric genetics, and biometric diagnosis, etc.; Introduces new biometric applications such as biometric banking, internet of things, cloud computing, and medical biometrics.

Advanced Biometrics with Deep Learning

Andrew Teoh Beng Jin ,Lu Leng
Advanced Biometrics with Deep Learning Book PDF

Author : Andrew Teoh Beng Jin ,Lu Leng
Publisher : MDPI
Page : 210 pages
File Size : 48,5 Mb
Release : 2020-12-28
Category : Business & Economics
ISBN : 9783039366989

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Advanced Biometrics with Deep Learning by Andrew Teoh Beng Jin ,Lu Leng Pdf

Biometrics, such as fingerprint, iris, face, hand print, hand vein, speech and gait recognition, etc., as a means of identity management have become commonplace nowadays for various applications. Biometric systems follow a typical pipeline, that is composed of separate preprocessing, feature extraction and classification. Deep learning as a data-driven representation learning approach has been shown to be a promising alternative to conventional data-agnostic and handcrafted pre-processing and feature extraction for biometric systems. Furthermore, deep learning offers an end-to-end learning paradigm to unify preprocessing, feature extraction, and recognition, based solely on biometric data. This Special Issue has collected 12 high-quality, state-of-the-art research papers that deal with challenging issues in advanced biometric systems based on deep learning. The 12 papers can be divided into 4 categories according to biometric modality; namely, face biometrics, medical electronic signals (EEG and ECG), voice print, and others.

Multimodal Biometric and Machine Learning Technologies

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

Author : Sandeep Kumar,Deepika Ghai,Arpit Jain,Suman Lata Tripathi,Shilpa Rani
Publisher : John Wiley & Sons
Page : 340 pages
File Size : 42,8 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.

Encyclopedia of Biometrics

Stan Z. Li
Encyclopedia of Biometrics Book PDF

Author : Stan Z. Li
Publisher : Springer Science & Business Media
Page : 1466 pages
File Size : 52,5 Mb
Release : 2009-08-27
Category : Computers
ISBN : 9780387730028

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Encyclopedia of Biometrics by Stan Z. Li Pdf

With an A–Z format, this encyclopedia provides easy access to relevant information on all aspects of biometrics. It features approximately 250 overview entries and 800 definitional entries. Each entry includes a definition, key words, list of synonyms, list of related entries, illustration(s), applications, and a bibliography. Most entries include useful literature references providing the reader with a portal to more detailed information.

Biometric System and Data Analysis

Ted Dunstone,Neil Yager
Biometric System and Data Analysis Book PDF

Author : Ted Dunstone,Neil Yager
Publisher : Springer Science & Business Media
Page : 282 pages
File Size : 43,6 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.

Biometric Systems

Loris Nanni,Sheryl Brahnam
Biometric Systems Book PDF

Author : Loris Nanni,Sheryl Brahnam
Publisher : MDPI
Page : 352 pages
File Size : 46,8 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.

Advances in Biometrics for Secure Human Authentication and Recognition

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

Author : Dakshina Ranjan Kisku,Phalguni Gupta,Jamuna Kanta Sing
Publisher : CRC Press
Page : 340 pages
File Size : 52,5 Mb
Release : 2013-12-09
Category : Computers
ISBN : 9781466582439

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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 ran