Discriminative Learning in Biometrics, Zhang David, Xu Yong, Zuo Wangmeng
Автор: Jain Anil K., Flynn Patrick, Ross Arun A. Название: Handbook of Biometrics ISBN: 038771040X ISBN-13(EAN): 9780387710402 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Biometrics is a rapidly evolving field with applications ranging from accessing one’s computer to gaining entry into a country. The deployment of large-scale biometric systems in both commercial (e.g., grocery stores, Disney World, airports) and government (e.g., IAFIS) applications has served to increase the public’s awareness of this technology. This rapid growth has clearly highlighted the challenges associated with designing and deploying biometric systems. Indeed, the problem of biometric authentication is a "Grand Challenge" in its own right. The past five years has seen a significant growth in biometric research resulting in the development of innovative sensors, new algorithms, enhanced test methodologies and novel applications.The purpose of the Handbook of Biometrics is to address this void by inviting some of the prominent researchers in Biometrics to author individual chapters describing the fundamentals as well as the latest innovations in their respective areas of expertise.Designed for researchers and advanced-level students in computer science, the Handbook of Biometrics is also suitable for Biometric and Computer Security professionals.
Автор: David Zhang; Yong Xu; Wangmeng Zuo Название: Discriminative Learning in Biometrics ISBN: 9811020558 ISBN-13(EAN): 9789811020551 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition.
Автор: Fabio Fassetti; Simona E. Rombo; Cristina Serrao Название: Discriminative Pattern Discovery on Biological Networks ISBN: 3319634763 ISBN-13(EAN): 9783319634760 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Part I: Biological Networks
Data Sources and Models
Problems and Techniques
Part II: Pattern Mining
Exceptional Pattern Discovery
Discriminating Graph Pattern Mining from Gene Expression Data
Автор: Amine Nait-ali Название: Hidden Biometrics ISBN: 9811309558 ISBN-13(EAN): 9789811309557 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores intrinsic and human body part biometrics and biometrics of human physiological activities, invisible to the naked eye. These human body parts can only be visualized using specific imaging techniques or sensors, commonly employed in the biomedical engineering field.
Автор: Patricia Melin; Witold Pedrycz Название: Soft Computing for Recognition based on Biometrics ISBN: 3642265111 ISBN-13(EAN): 9783642265112 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other sources. Each section groups papers on a similar subject.
Автор: Julian Ashbourn Название: Guide to Biometrics for Large-Scale Systems ISBN: 1447158865 ISBN-13(EAN): 9781447158868 Издательство: Springer Рейтинг: Цена: 9362.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book considers biometric technology in all its broad aspects, integrating the concept seamlessly into mainstream IT while discussing legal, political and societal factors, including the cultural attitudes and the societal impact of identity management.
Автор: Bir Bhanu; Ajay Kumar Название: Deep Learning for Biometrics ISBN: 3319871285 ISBN-13(EAN): 9783319871288 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Поставка под заказ.
Описание: 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;
Автор: Ruud M. Bolle; Jonathan H. Connell; Sharath Pankan Название: Guide to Biometrics ISBN: 1441923055 ISBN-13(EAN): 9781441923059 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Starting with fingerprints more than a hundred years ago, there has been ongoing research in biometrics. With the matu- ration of biometrics, the separate biometrics areas are coalescing into the new discipline of biometrics.
Автор: G.R. Sinha Название: Advances in Biometrics ISBN: 3030304353 ISBN-13(EAN): 9783030304355 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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 techniquesProvides implementation strategies and future research directions in the field of biometricsIncludes case studies and emerging applications
Автор: Rattani Ajita, Derakhshani Reza, Ross Arun Название: Selfie Biometrics: Advances and Challenges ISBN: 3030269744 ISBN-13(EAN): 9783030269746 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1. Introduction to Selfie Biometrics.- Part I: Selfie Finger, Ocular and Face Biometrics - 2. User Authentication via Finger-selfies.- 3. A Scheme for Fingerphoto Recognition in Smartphones.- 4. MICHE Competitions: A Realistic Experience with Uncontrolled Eye Region Acquisition.- 5. Super-Resolution for Selfie Biometrics: Introduction and Application to Face and Iris.- 6. Foveated Vision for Biologically-inspired Continuous face Authentication.- 7. Selfie for Mobile Biometrics: Sample Quality in Unconstrained Environments.- Part II: Selfie and Liveness Detection - 8. Presentation Attack Detection for Face in Mobile Phones.- 9. Liveness and threat Aware Selfie Face Recognition.- Part III: Selfie and Soft-Biometrics - 10. Soft-Biometrics Attributes from Selfie Images.- 11. Sex-Classification from Cell Phones Periocular Iris Images.- 12. Active Authentication on Mobile Devices.
Автор: Jiang Richard, Li Chang-Tsun, Crookes Danny Название: Deep Biometrics ISBN: 3030325822 ISBN-13(EAN): 9783030325824 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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.
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