Cross Disciplinary Biometric Systems
Cross Disciplinary Biometric Systems

Author: Chengjun Liu

Publisher: Springer Science & Business Media

Published: 2012-04-18

Total Pages: 238

ISBN-13: 3642284574

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Cross disciplinary biometric systems help boost the performance of the conventional systems. Not only is the recognition accuracy significantly improved, but also the robustness of the systems is greatly enhanced in the challenging environments, such as varying illumination conditions. By leveraging the cross disciplinary technologies, face recognition systems, fingerprint recognition systems, iris recognition systems, as well as image search systems all benefit in terms of recognition performance. Take face recognition for an example, which is not only the most natural way human beings recognize the identity of each other, but also the least privacy-intrusive means because people show their face publicly every day. Face recognition systems display superb performance when they capitalize on the innovative ideas across color science, mathematics, and computer science (e.g., pattern recognition, machine learning, and image processing). The novel ideas lead to the development of new color models and effective color features in color science; innovative features from wavelets and statistics, and new kernel methods and novel kernel models in mathematics; new discriminant analysis frameworks, novel similarity measures, and new image analysis methods, such as fusing multiple image features from frequency domain, spatial domain, and color domain in computer science; as well as system design, new strategies for system integration, and different fusion strategies, such as the feature level fusion, decision level fusion, and new fusion strategies with novel similarity measures.

Privacy and Technologies of Identity
Privacy and Technologies of Identity

Author: Katherine J. Strandburg

Publisher: Springer Science & Business Media

Published: 2005-12-12

Total Pages: 381

ISBN-13: 038728222X

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Privacy and Technologies of Identity: A Cross-Disciplinary Conversation provides an overview of ways in which technological changes raise privacy concerns. It then addresses four major areas of technology: RFID and location tracking technology; biometric technology, data mining; and issues with anonymity and authentication of identity. Many of the chapters are written with the non-specialist in mind, seeking to educate a diverse audience on the "basics" of the technology and the law and to point out the promise and perils of each technology for privacy. The material in this book provides an interface between legal and policy approaches to privacy and technologies that either threaten or enhance privacy. This book grew out of the Fall 2004 CIPLIT(r) Symposium on Privacy and Identity: The Promise and Perils of a Technological Age, co-sponsored by DePaul University's College of Law and School of Computer Science, Telecommunications and Information Systems. The Symposium brought together leading researchers in advanced technology and leading thinkers from the law and policy arenas, many of whom have contributed chapters to the book. Like the Symposium, the book seeks to contribute to a conversation among technologists, lawyers, and policymakers about how best to handle the challenges to privacy that arise from recent technological advances.

Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies
Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies

Author: Mago, Vijay Kumar

Publisher: IGI Global

Published: 2011-12-31

Total Pages: 785

ISBN-13: 1613504306

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The need for intelligent machines in areas such as medical diagnostics, biometric security systems, and image processing motivates researchers to develop and explore new techniques, algorithms, and applications in this evolving field.Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies provides a common platform for researchers to present theoretical and applied research findings for enhancing and developing intelligent systems. Through its discussions of advances in and applications of pattern recognition technologies and artificial intelligence, this reference highlights core concepts in biometric imagery, feature recognition, and other related fields, along with their applicability.

Biometrics and Kansei Engineering
Biometrics and Kansei Engineering

Author: Khalid Saeed

Publisher: Springer Science & Business Media

Published: 2012-10-16

Total Pages: 280

ISBN-13: 146145607X

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Biometrics and Kansei Engineering is the first book to bring together the principles and applications of each discipline. The future of biometrics is in need of new technologies that can depend on people’s emotions and the prediction of their intention to take an action. Behavioral biometrics studies the way people walk, talk, and express their emotions, and Kansei Engineering focuses on interactions between users, products/services and product psychology. They are becoming quite complementary. This book also introduces biometric applications in our environment, which further illustrates the close relationship between Biometrics and Kansei Engineering. Examples and case studies are provided throughout this book. Biometrics and Kansei Engineering is designed as a reference book for professionals working in these related fields. Advanced-level students and researchers studying computer science and engineering will find this book useful as a reference or secondary text book as well.

Biometrics
Biometrics

Author: Anil K. Jain

Publisher: Springer Science & Business Media

Published: 2006-04-18

Total Pages: 408

ISBN-13: 0306470446

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Biometrics: Personal Identification in Networked Society is a comprehensive and accessible source of state-of-the-art information on all existing and emerging biometrics: the science of automatically identifying individuals based on their physiological or behavior characteristics. In particular, the book covers: *General principles and ideas of designing biometric-based systems and their underlying tradeoffs *Identification of important issues in the evaluation of biometrics-based systems *Integration of biometric cues, and the integration of biometrics with other existing technologies *Assessment of the capabilities and limitations of different biometrics *The comprehensive examination of biometric methods in commercial use and in research development *Exploration of some of the numerous privacy and security implications of biometrics. Also included are chapters on face and eye identification, speaker recognition, networking, and other timely technology-related issues. All chapters are written by leading internationally recognized experts from academia and industry. Biometrics: Personal Identification in Networked Society is an invaluable work for scientists, engineers, application developers, systems integrators, and others working in biometrics.

Security of E-Systems and Computer Networks
Security of E-Systems and Computer Networks

Author: Mohammad Obaidat

Publisher: Cambridge University Press

Published: 2007-06-14

Total Pages: 382

ISBN-13: 9780521837644

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Describes tools of e-security and a range of applications, including recently developed technologies like Trust management systems and biometrics-based security.