Iris and Periocular Recognition using Deep Learning

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Author :
Publisher : Elsevier
ISBN 13 : 0443273197
Total Pages : 310 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Iris and Periocular Recognition using Deep Learning by : Ajay Kumar

Download or read book Iris and Periocular Recognition using Deep Learning written by Ajay Kumar and published by Elsevier. This book was released on 2024-06-28 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book 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 Unveils a collection of previously unpublished results and in-depth explanations of advanced ocular recognition algorithms ?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 :
Publisher : MDPI
ISBN 13 : 303936698X
Total Pages : 210 pages
Book Rating : 4.0/5 (393 download)

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Book Synopsis Advanced Biometrics with Deep Learning by : Andrew Teoh Beng Jin

Download or read book Advanced Biometrics with Deep Learning written by Andrew Teoh Beng Jin and published by MDPI. This book was released on 2020-12-28 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 :
Publisher : Springer
ISBN 13 : 3319616579
Total Pages : 312 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Deep Learning for Biometrics by : Bir Bhanu

Download or read book Deep Learning for Biometrics written by Bir Bhanu and published by Springer. This book was released on 2017-08-01 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Vascular Biometrics

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Author :
Publisher : Springer Nature
ISBN 13 : 3030277313
Total Pages : 533 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Handbook of Vascular Biometrics by : Andreas Uhl

Download or read book Handbook of Vascular Biometrics written by Andreas Uhl and published by Springer Nature. This book was released on 2020-01-01 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open datasets/open source software, individual chapters focus on specific aspects of one of the biometric modalities, including questions of usability, security, and privacy. The book features contributions from both academia and major industrial manufacturers.

Computer Vision and Image Processing

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Author :
Publisher : Springer Nature
ISBN 13 : 3031113462
Total Pages : 616 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Computer Vision and Image Processing by : Balasubramanian Raman

Download or read book Computer Vision and Image Processing written by Balasubramanian Raman and published by Springer Nature. This book was released on 2022-07-23 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1567-1568) constitutes the refereed proceedings of the 6h International Conference on Computer Vision and Image Processing, CVIP 2021, held in Rupnagar, India, in December 2021. The 70 full papers and 20 short papers were carefully reviewed and selected from the 260 submissions. The papers present recent research on such topics as biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image, image/video processing for autonomous vehicles, video scene understanding, human-computer interaction, document image analysis, face, iris, emotion, sign language and gesture recognition, 3D image/video processing, action and event detection/recognition, medical image and video analysis, vision-based human GAIT analysis, remote sensing, and more.

Neural Information Processing

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Publisher : Springer Nature
ISBN 13 : 3030922731
Total Pages : 718 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Neural Information Processing by : Teddy Mantoro

Download or read book Neural Information Processing written by Teddy Mantoro and published by Springer Nature. This book was released on 2021-12-04 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications.

Advances in Signal Processing and Intelligent Recognition Systems

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Author :
Publisher : Springer Nature
ISBN 13 : 9811548285
Total Pages : 414 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Signal Processing and Intelligent Recognition Systems by : Sabu M. Thampi

Download or read book Advances in Signal Processing and Intelligent Recognition Systems written by Sabu M. Thampi and published by Springer Nature. This book was released on 2020-04-30 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2019, held in Trivandrum, India, in December 2019. The 19 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 63 submissions. The papers cover wide research fields including information retrieval, human-computer interaction (HCI), information extraction, speech recognition.

Communication and Intelligent Systems

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Publisher : Springer Nature
ISBN 13 : 9811610894
Total Pages : 1040 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Communication and Intelligent Systems by : Harish Sharma

Download or read book Communication and Intelligent Systems written by Harish Sharma and published by Springer Nature. This book was released on 2021-06-28 with total page 1040 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected research papers presented at the International Conference on Communication and Intelligent Systems (ICCIS 2020), organized jointly by Birla Institute of Applied Sciences, Uttarakhand, and Soft Computing Research Society during 26–27 December 2020. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source.

Machine Learning in Information and Communication Technology

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Publisher : Springer Nature
ISBN 13 : 9811950903
Total Pages : 337 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Machine Learning in Information and Communication Technology by : Hiren Kumar Deva Sarma

Download or read book Machine Learning in Information and Communication Technology written by Hiren Kumar Deva Sarma and published by Springer Nature. This book was released on 2022-11-09 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Computational Intelligence Systems

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Author :
Publisher : Springer
ISBN 13 : 3319979825
Total Pages : 394 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Advances in Computational Intelligence Systems by : Ahmad Lotfi

Download or read book Advances in Computational Intelligence Systems written by Ahmad Lotfi and published by Springer. This book was released on 2018-08-10 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest trends in and approaches to computational intelligence research and its application to intelligent systems. It covers a long list of interconnected research areas, such as fuzzy systems, neural networks, evolutionary computation, clustering and classification, machine learning, data mining, cognition and robotics, and deep learning. The individual chapters are based on peer-reviewed contributions presented at the 18th Annual UK Workshop on Computational Intelligence (UKCI-2018), held in Nottingham, UK on September 5-7, 2018. The book puts a special emphasis on novel methods and reports on their use in a wide range of applications areas, thus providing both academics and professionals with a comprehensive and timely overview of new trends in computational intelligence.

Advances in Manufacturing Technology XXXV

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Publisher : IOS Press
ISBN 13 : 1643683314
Total Pages : 416 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Advances in Manufacturing Technology XXXV by : M. Shafik

Download or read book Advances in Manufacturing Technology XXXV written by M. Shafik and published by IOS Press. This book was released on 2022-11-23 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AI and Deep Learning in Biometric Security

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Author :
Publisher : CRC Press
ISBN 13 : 1000291626
Total Pages : 378 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis AI and Deep Learning in Biometric Security by : Gaurav Jaswal

Download or read book AI and Deep Learning in Biometric Security written by Gaurav Jaswal and published by CRC Press. This book was released on 2021-03-21 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Publisher : Springer Nature
ISBN 13 : 3030339041
Total Pages : 800 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by : Ingela Nyström

Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by Ingela Nyström and published by Springer Nature. This book was released on 2019-10-25 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 24rd Iberoamerican Congress on Pattern Recognition, CIARP 2019, held in Havana, Cuba, in October 2019. The 70 papers presented were carefully reviewed and selected from 128 submissions. The papers are organized in topical sections named: Data Mining: Natural Language Processing and Text Mining; Image Analysis and Retrieval; Machine Learning and Neural Networks; Mathematical Theory of Pattern Recognition; Pattern Recognition and Applications; Signals Analysis and Processing; Speech Recognition; Video Analysis.

Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era

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Author :
Publisher : IGI Global
ISBN 13 : 1799888940
Total Pages : 467 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era by : Srinivasan, A.

Download or read book Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era written by Srinivasan, A. and published by IGI Global. This book was released on 2022-10-21 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent decades, there has been an increasing interest in using machine learning and, in the last few years, deep learning methods combined with other vision and image processing techniques to create systems that solve vision problems in different fields. There is a need for academicians, developers, and industry-related researchers to present, share, and explore traditional and new areas of computer vision, machine learning, deep learning, and their combinations to solve problems. The Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era is designed to serve researchers and developers by sharing original, innovative, and state-of-the-art algorithms and architectures for applications in the areas of computer vision, image processing, biometrics, virtual and augmented reality, and more. It integrates the knowledge of the growing international community of researchers working on the application of machine learning and deep learning methods in vision and robotics. Covering topics such as brain tumor detection, heart disease prediction, and medical image detection, this premier reference source is an exceptional resource for medical professionals, faculty and students of higher education, business leaders and managers, librarians, government officials, researchers, and academicians.

Applied Soft Computing and Communication Networks

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Publisher : Springer Nature
ISBN 13 : 9811538522
Total Pages : 268 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Applied Soft Computing and Communication Networks by : Sabu M. Thampi

Download or read book Applied Soft Computing and Communication Networks written by Sabu M. Thampi and published by Springer Nature. This book was released on 2020-04-30 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes best selected research papers presented at the International Applied Soft Computing and Communication Networks (ACN 2019) held in Trivandrum, Kerala, India during December 18 – 21, 2019. The papers are organized in topical sections on real time and multimedia communications, security and privacy, network management and software-defined networks, Internet of Things (IoT) and cyber-physical systems, intelligent distributed systems, mobile computing and vehicle communications, surveillance networks and visual intelligence, and emerging topics. The book is a reference for researchers and scientists engaged in various fields of intelligent systems.

18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023)

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Publisher : Springer Nature
ISBN 13 : 3031425367
Total Pages : 376 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) by : Pablo García Bringas

Download or read book 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) written by Pablo García Bringas and published by Springer Nature. This book was released on 2023-10-01 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2023 conference held in the beautiful and historic city of Salamanca (Spain) in September 2023. Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the 18th SOCO 2023 International Program Committee selected 61 papers which are published in these conference proceedings and represents an acceptance rate of 60%. In this relevant edition, a particular emphasis was put on the organization of special sessions. Seven special sessions were organized related to relevant topics such as: Time Series Forecasting in Industrial and Environmental Applications, Technological Foundations and Advanced Applications of Drone Systems, Soft Computing Methods in Manufacturing and Management Systems, Efficiency and Explainability in Machine Learning and Soft Computing, Machine Learning and Computer Vision in Industry 4.0, Genetic and Evolutionary Computation in Real World and Industry, and Soft Computing and Hard Computing for a Data Science Process Model. The selection of papers was extremely rigorous to maintain the high quality of the conference. We want to thank the members of the Program Committees for their hard work during the reviewing process. This is a crucial process for creating a high-standard conference; the SOCO conference would not exist without their help.

Machine Learning and Metaheuristics Algorithms, and Applications

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Author :
Publisher : Springer Nature
ISBN 13 : 9811604193
Total Pages : 256 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Machine Learning and Metaheuristics Algorithms, and Applications by : Sabu M. Thampi

Download or read book Machine Learning and Metaheuristics Algorithms, and Applications written by Sabu M. Thampi and published by Springer Nature. This book was released on 2021-02-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, SoMMA 2020, held in Chennai, India, in October 2020. Due to the COVID-19 pandemic the conference was held online. The 12 full papers and 7 short papers presented in this volume were thoroughly reviewed and selected from 40 qualified submissions. The papers cover such topics as machine learning, artificial intelligence, Internet of Things, modeling and simulation, disctibuted computing methodologies, computer graphics, etc.