This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as cancellable biometrics and soft biometrics. The book also focuses on several emerging topics such as big data issues, internet of things, medical biometrics, healthcare, and robot-human interactions. The authors show how these new applications have triggered a number of new biometric approaches. They show, as an example, how fuzzy extractor has become a useful tool for key generation in biometric banking, and vein/heart rates from medical records can also be used to identify patients. The contributors cover the topics, their methods, and their applications in depth.
This important text/reference presents the latest secure and privacy-compliant techniques in automatic human recognition. Featuring viewpoints from an international selection of experts in the field, the comprehensive coverage spans both theory and practical implementations, taking into consideration all ethical and legal issues. Topics and features: presents a unique focus on novel approaches and new architectures for unimodal and multimodal template protection; examines signal processing techniques in the encrypted domain, security and privacy leakage assessment, and aspects of standardization; describes real-world applications, from face and fingerprint-based user recognition, to biometrics-based electronic documents, and biometric systems employing smart cards; reviews the ethical implications of the ubiquity of biometrics in everyday life, and its impact on human dignity; provides guidance on best practices for the processing of biometric data within a legal framework.
Modern biometrics delivers an enhanced level of security by means of a “proof of property”. The design and deployment of a biometric system, however, hide many pitfalls, which, when underestimated, can lead to major security weaknesses and privacy threats. Issues of concern include biometric identity theft and privacy invasion because of the strong connection between a user and his identity. This book showcases a collection of comprehensive references on the advances of biometric security technology. It compiles a total of fourteen articles, all contributed by thirty-two eminent researchers in the field, thus providing concise and accessible coverage of not only general issues, but also state-of-the-art solutions. The book is divided into five parts: (1) Biometric Template Protection, which covers cancellable biometrics and parameter management protocol; (2) Biometric Key and Encryption, focusing on biometric key generation and visual biometric cryptography; (3) Biometric Systems Analysis, dealing with biometric system security, and privacy evaluation and assessment; (4) Privacy-Enhanced Biometric Systems, covering privacy-enhanced biometric system protocol design and implementation; and (5) Other Biometric Security Technologies. The book will be of particular interest to researchers, scholars, graduate students, engineers, practitioners and developers interested in security and privacy-related issues in biometric systems. It will also be attractive to managers of various organizations with strong security needs.
Bio-Privacy: Privacy Regulations and the Challenge of Biometrics provides an in-depth consideration of the legal issues posed by the use of biometric technology. Focusing particularly on the relationship between the use of this technology and the protection of privacy, this book draws on material across a range of jurisdictions in order to explore several key questions. What are the privacy issues in the biometric context? How are these issues currently dealt with under the law? What principles are applied? Is the current regulation satisfactory? Is it applied consistently? And, more generally, what is the most appropriate way to deal with the legal implications of biometrics? Offering an analysis, and recommendations, with a view to securing adequate human rights and personal data protection, Bio-Privacy: Privacy Regulations and the Challenge of Biometrics will be an important reference point for those with interests in the tension between freedom and security.
Biometric Systems provides practitioners with an overview of the principles and methods needed to build reliable biometric systems. It covers three main topics: key biometric technologies, design and management issues, and the performance evaluation of biometric systems for personal verification/identification. The four most widely used technologies are focused on - speech, fingerprint, iris and face recognition. Key features include: in-depth coverage of the technical and practical obstacles which are often neglected by application developers and system integrators and which result in shortfalls between expected and actual performance; and protocols and benchmarks which will allow developers to compare performance and track system improvements.
Many governments around the world are calling for the use of biometric systems to provide crucial societal functions, consequently making it an urgent area for action. The current performance of some biometric systems in terms of their error rates, robustness, and system security may prove to be inadequate for large-scale applications to process millions of users at a high rate of throughput. This book focuses on fusion in biometric systems. It discusses the present level, the limitations, and proposed methods to improve performance. It describes the fundamental concepts, current research, and security-related issues. The book will present a computational perspective, identify challenges, and cover new problem-solving strategies, offering solved problems and case studies to help with reader comprehension and deep understanding. This book is written for researchers, practitioners, both undergraduate and post-graduate students, and those working in various engineering fields such as Systems Engineering, Computer Science, Information Technology, Electronics, and Communications.
Reid (senior product manager, Cryptometrics) introduces the technical capabilities and limitations of computer biometric systems for measuring fingerprints, eye characteristics, or other body information as a computer security measure serving a similar purpose to personal identification numbers. He describes the workings of the different types of technologies and examines some of the mathematics behind biometric systems. He also describes the conceptualization and implementation of a particular system with which he was involved. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).
Biometric recognition-the automated recognition of individuals based on their behavioral and biological characteristic-is promoted as a way to help identify terrorists, provide better control of access to physical facilities and financial accounts, and increase the efficiency of access to services and their utilization. Biometric recognition has been applied to identification of criminals, patient tracking in medical informatics, and the personalization of social services, among other things. In spite of substantial effort, however, there remain unresolved questions about the effectiveness and management of systems for biometric recognition, as well as the appropriateness and societal impact of their use. Moreover, the general public has been exposed to biometrics largely as high-technology gadgets in spy thrillers or as fear-instilling instruments of state or corporate surveillance in speculative fiction. Now, as biometric technologies appear poised for broader use, increased concerns about national security and the tracking of individuals as they cross borders have caused passports, visas, and border-crossing records to be linked to biometric data. A focus on fighting insurgencies and terrorism has led to the military deployment of biometric tools to enable recognition of individuals as friend or foe. Commercially, finger-imaging sensors, whose cost and physical size have been reduced, now appear on many laptop personal computers, handheld devices, mobile phones, and other consumer devices. Biometric Recognition: Challenges and Opportunities addresses the issues surrounding broader implementation of this technology, making two main points: first, biometric recognition systems are incredibly complex, and need to be addressed as such. Second, biometric recognition is an inherently probabilistic endeavor. Consequently, even when the technology and the system in which it is embedded are behaving as designed, there is inevitable uncertainty and risk of error. This book elaborates on these themes in detail to provide policy makers, developers, and researchers a comprehensive assessment of biometric recognition that examines current capabilities, future possibilities, and the role of government in technology and system development.
This book addresses the use of biometrics – including fingerprint identification, DNA identification and facial recognition – in the criminal justice system: balancing the need to ensure society is protected from harms, such as crime and terrorism, while also preserving individual rights. It offers a comprehensive discussion of biometric identification that includes a consideration of: basic scientific principles, their historical development, the perspectives of political philosophy, critical security and surveillance studies; but especially the relevant law, policy and regulatory issues. Developments in key jurisdictions where the technology has been implemented, including the United Kingdom, United States, Europe and Australia, are examined. This includes case studies relating to the implementation of new technology, policy, legislation, court judgements, and where available, empirical evaluations of the use of biometrics in criminal justice systems. Examples from non-western areas of the world are also considered. Accessibly written, this book will be of interest to undergraduate, postgraduate and research students, academic researchers, as well as professionals in government, security, legal and private sectors.
An examination of the public's perceptions of biometric identification technology in the context of privacy, security, and civil liberties. The use of biometric technology for identification has gone from Orwellian fantasy to everyday reality. This technology, which verifies or recognizes a person's identity based on physiological, anatomical, or behavioral patterns (including fingerprints, retina, handwriting, and keystrokes) has been deployed for such purposes as combating welfare fraud, screening airplane passengers, and identifying terrorists. The accompanying controversy has pitted those who praise the technology's accuracy and efficiency against advocates for privacy and civil liberties. In America Identified, Lisa Nelson investigates the complex public responses to biometric technology. She uses societal perceptions of this particular identification technology to explore the values, beliefs, and ideologies that influence public acceptance of technology. Drawing on her own extensive research with focus groups and a national survey, Nelson finds that considerations of privacy, anonymity, trust and confidence in institutions, and the legitimacy of paternalistic government interventions are extremely important to users and potential users of the technology. She examines the long history of government systems of identification and the controversies they have inspired; the effect of the information technology revolution and the events of September 11, 2001; the normative value of privacy (as opposed to its merely legal definition); the place of surveillance technologies in a civil society; trust in government and distrust in the expanded role of government; and the balance between the need for government to act to prevent harm and the possible threat to liberty in government's actions.
