Iris And Periocular Recognition Using Deep Learning

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Iris And Periocular Recognition Using Deep Learning

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Author : Ajay Kumar
language : en
Publisher: Elsevier
Release Date : 2024-06-12

Iris And Periocular Recognition Using Deep Learning written by Ajay Kumar and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-12 with Computers categories.

Iris and Periocular Recognition using Deep Learning systematically explains the fundamental and most advanced techniques for ocular imprint-based human identification, with many applications in sectors such as healthcare, online education, e-business, metaverse, and entertainment. This is the first-ever book devoted to iris recognition that details cutting-edge techniques using deep neural networks. This book systematically introduces such algorithmic details with attractive illustrations, examples, experimental comparisons, and security analysis. It answers many fundamental questions about the most effective iris and periocular recognition techniques. - Provides insightful algorithmic details into highly efficient and precise iris recognition using deep neural networks - Unveils a collection of previously unpublished results and in-depth explanations of advanced ocular recognition algorithms - Presents iris recognition algorithms specifically designed to bolster metaverse security, featuring specialized techniques for iris detection, segmentation, and matching - Offers illustrative examples and comparative analysis, establishing reliability and confidence in deep learning-based methods over widely used conventional methods - Provides access to the original codes and databases

Advanced Biometrics With Deep Learning

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Author : Andrew Teoh Beng Jin
language : en
Publisher: MDPI
Release Date : 2020-12-28

Advanced Biometrics With Deep Learning written by Andrew Teoh Beng Jin and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-28 with Business & Economics categories.

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.

Deep Learning For Biometrics

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Author : Bir Bhanu
language : en
Publisher: Springer
Release Date : 2017-08-01

Deep Learning For Biometrics written by Bir Bhanu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-01 with Computers categories.

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.

Proceedings Of Third International Conference On Advances In Computer Engineering And Communication Systems

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Author : A. Brahmananda Reddy
language : en
Publisher: Springer Nature
Release Date : 2023-03-17

Proceedings Of Third International Conference On Advances In Computer Engineering And Communication Systems written by A. Brahmananda Reddy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-17 with Technology & Engineering categories.

This book includes original, peer-reviewed research articles from International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2022), held in VNR Vignana Jyoythi Institute of Engineering and Technology (VNR VJIET), Hyderabad, Telangana, India, during August 11–12, 2022. The book focuses on “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems” enlargements and reviews on the advanced topics in artificial intelligence, machine learning, data mining and big data computing, knowledge engineering, semantic Web, cloud computing, Internet of Things, cybersecurity, communication systems, and distributed computing and smart systems.

Face Recognition Across The Imaging Spectrum

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Author : Thirimachos Bourlai
language : en
Publisher: Springer Nature
Release Date : 2024-10-03

Face Recognition Across The Imaging Spectrum written by Thirimachos Bourlai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-03 with Computers categories.

Embark on a journey through the recent groundbreaking developments in face recognition (FR) systems with our second edition. Initially designed for controlled conditions, FR systems have evolved to conquer real-world challenges, adapting to low-light scenarios and extended distances. Our book delves into the transformation brought about by advancements in imaging sensors and cost-effective infrared (IR) cameras, exploring intensified near-infrared (NIR), shortwave IR (SWIR), middle-wave IR (MWIR), and long-wave IR (LWIR) imagery. This edition caters to the burgeoning interest in FR technologies, aligning with recent strides in computer vision, pattern recognition, and biometric analysis. Tailored for biometrics researchers, practitioners, and students, it addresses the critical need for FR algorithms in operational environments. Our book encompasses three comprehensive sections: (a) Face Recognition and Biometric Systems: Dive into topics such as face profile, facial attractiveness, periocular and binocular recognition, and quality training for face-based examinations. (b) Biometric System Security and Attacks: Explore adversarial attacks, domain transformers, demographic fairness, ocular pathologies, and distance-based classification of biometric images. (c) Biometric Image Synthesis and Technology Enhancements:Uncover the secrets of face image synthesis, thermal band head pose estimation, facial image analysis in forensic examination, and optimal computer monitor configurations. With 13 meticulously crafted chapters, this edition provides updated insights, experimental findings, and a roadmap for the future. Each chapter delivers a rich exploration of its specific topic, weaving together background information, literature reviews, methodologies, experiments, and concluding with challenges and future directions. Elevate your understanding of evolving face recognition technologies – the future awaits!

Visual Sensors

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Author : Oscar Reinoso
language : en
Publisher: MDPI
Release Date : 2020-03-27

Visual Sensors written by Oscar Reinoso and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-27 with Technology & Engineering categories.

Visual sensors are able to capture a large quantity of information from the environment around them. A wide variety of visual systems can be found, from the classical monocular systems to omnidirectional, RGB-D, and more sophisticated 3D systems. Every configuration presents some specific characteristics that make them useful for solving different problems. Their range of applications is wide and varied, including robotics, industry, agriculture, quality control, visual inspection, surveillance, autonomous driving, and navigation aid systems. In this book, several problems that employ visual sensors are presented. Among them, we highlight visual SLAM, image retrieval, manipulation, calibration, object recognition, navigation, etc.

Intelligent Computing

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Author : Kohei Arai
language : en
Publisher: Springer Nature
Release Date : 2021-07-05

Intelligent Computing written by Kohei Arai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-05 with Technology & Engineering categories.

This book is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world. Each chapter is a paper presented at the Computing Conference 2021 held on 15-16 July 2021. Computing 2021 attracted a total of 638 submissions which underwent a double-blind peer review process. Of those 638 submissions, 235 submissions have been selected to be included in this book. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this volume interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications is a trigger for further related research and technology improvements in this important subject.

Advances In Manufacturing Technology Xxxv

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Author : M. Shafik
language : en
Publisher: IOS Press
Release Date : 2022-11-23

Advances In Manufacturing Technology Xxxv written by M. Shafik and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-23 with Technology & Engineering categories.

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.

Deep Biometrics

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Author : Richard Jiang
language : en
Publisher: Springer Nature
Release Date : 2020-01-28

Deep Biometrics written by Richard Jiang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-28 with Technology & Engineering categories.

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.

Machine Learning In Information And Communication Technology

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Author : Hiren Kumar Deva Sarma
language : en
Publisher: Springer Nature
Release Date : 2022-11-09

Machine Learning In Information And Communication Technology written by Hiren Kumar Deva Sarma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-09 with Technology & Engineering categories.

This book presents collection of research papers presented at International Conference on Information and Communication Technology (ICICT 2021) organized by Department of Information Technology, Sikkim Manipal Institute of Technology, Sikkim, India, during 23–24 December 2021. The book includes papers in the research area of communication networks, data science, healthcare informatics, bio-medical image processing, security of information including cryptography, machine learning applications, and AI applications.