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Book
Advanced methods for human biometrics
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ISBN: 3030819825 3030819817 Year: 2021 Publisher: Cham, Switzerland : Springer,

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Book
Biometric recognition : 16th Chinese conference, CCBR 2022, Beijing, China, November 11-13, 2022, proceedings
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ISBN: 3031202325 3031202333 Year: 2022 Publisher: Cham, Switzerland : Springer,

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Book
Iris and periocular biometric recognition
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ISBN: 152311231X 1785611690 Year: 2017 Publisher: London, England : The Institution of Engineering and Technology,


Book
Hand-based biometrics : methods and technology
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ISBN: 1523118679 1785612255 Year: 2018 Publisher: Stevenage, United Kingdom : The Institution of Engineering and Technology,


Book
Breakthroughs in digital biometrics and forensics
Authors: --- ---
ISBN: 3031107055 3031107063 Year: 2022 Publisher: Cham, Switzerland : Springer International Publishing,


Book
Big Data Privacy and Security in Smart Cities
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ISBN: 3031044231 303104424X Year: 2022 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book highlights recent advances in smart cities technologies, with a focus on new technologies such as biometrics, blockchains, data encryption, data mining, machine learning, deep learning, cloud security, and mobile security. During the past five years, digital cities have been emerging as a technology reality that will come to dominate the usual life of people, in either developed or developing countries. Particularly, with big data issues from smart cities, privacy and security have been a widely concerned matter due to its relevance and sensitivity extensively present in cybersecurity, healthcare, medical service, e-commercial, e-governance, mobile banking, e-finance, digital twins, and so on. These new topics rises up with the era of smart cities and mostly associate with public sectors, which are vital to the modern life of people. This volume summarizes the recent advances in addressing the challenges on big data privacy and security in smart cities and points out the future research direction around this new challenging topic.


Book
Hidden Biometrics : When Biometric Security Meets Biomedical Engineering
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ISBN: 9811309566 9811309558 Year: 2020 Publisher: Singapore : Springer,

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This book explores intrinsic and human body part biometrics and biometrics of human physiological activities, invisible to the naked eye. This includes, for instance, brain structures, skeleton morphology, heart activity, etc. These human body parts can only be visualized using specific imaging techniques or sensors, commonly employed in the biomedical engineering field. As such, the book connects two fields, namely biometric security and biomedical engineering. The book is suitable for advanced graduate and postgraduate students, engineers and researchers, especially in Signal and Image Processing, Biometrics, and Biomedical Engineering.


Book
Biometric identification technologies based on modern data mining methods
Authors: --- ---
ISBN: 3030483789 9783030483784 9783030483777 3030483770 Year: 2021 Publisher: Cham, Switzerland : Springer,

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


Book
Deep Learning for Biometrics
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ISBN: 3319616579 3319616560 Year: 2017 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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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. Dr. Bir Bhanu is Bourns Presidential Chair, Distinguished Professor of Electrical and Computer Engineering and the Director of the Center for Research in Intelligent Systems at the University of California at Riverside, USA. Some of his other Springer publications include the titles Video Bioinformatics, Distributed Video Sensor Networks, and Human Recognition at a Distance in Video. Dr. Ajay Kumar is an Associate Professor in the Department of Computing at the Hong Kong Polytechnic University.

Keywords

Biometric identification. --- Machine learning. --- Learning, Machine --- Biometric person authentication --- Biometrics (Identification) --- Computer science. --- Artificial intelligence. --- Biometrics (Biology). --- Computer science --- Computer mathematics. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Biometrics. --- Mathematical Applications in Computer Science. --- Signal, Image and Speech Processing. --- Mathematics. --- Artificial intelligence --- Machine theory --- Anthropometry --- Identification --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer science—Mathematics. --- Signal processing. --- Image processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Computer mathematics --- Mathematics --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Statistical methods


Book
Proceedings of 2nd International Conference on Computer Vision & Image Processing : CVIP 2017, Volume 1
Authors: --- ---
ISBN: 9811078955 9811078947 Year: 2018 Publisher: Singapore : Springer Nature Singapore : Imprint: Springer,

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The book provides insights into the Second International Conference on Computer Vision & Image Processing (CVIP-2017) organized by Department of Computer Science and Engineering of Indian Institute of Technology Roorkee. The book presents technological progress and research outcomes in the area of image processing and computer vision. The topics covered in this book are image/video processing and analysis; image/video formation and display; image/video filtering, restoration, enhancement and super-resolution; image/video coding and transmission; image/video storage, retrieval and authentication; image/video quality; transform-based and multi-resolution image/video analysis; biological and perceptual models for image/video processing; machine learning in image/video analysis; probability and uncertainty handling for image/video processing; motion and tracking; segmentation and recognition; shape, structure and stereo.

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