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Discover how to make biometrics -- the technology involving scanning and analyzing unique body characteristics and matching them against information stored in a database -- a part of your overall security plan with this hands-on guide. Includes deployment scenarios, cost analysis, privacy issues, and much more.
Biometric recognition, or simply biometrics, is the science of establishing the identity of a person based on physical or behavioral attributes. It is a rapidly evolving field with applications ranging from securely accessing one’s computer to gaining entry into a country. While the deployment of large-scale biometric systems in both commercial and government applications has increased the public awareness of this technology, "Introduction to Biometrics" is the first textbook to introduce the fundamentals of Biometrics to undergraduate/graduate students. The three commonly used modalities in the biometrics field, namely, fingerprint, face, and iris are covered in detail in this book. Few other modalities like hand geometry, ear, and gait are also discussed briefly along with advanced topics such as multibiometric systems and security of biometric systems. Exercises for each chapter will be available on the book website to help students gain a better understanding of the topics and obtain practical experience in designing computer programs for biometric applications. These can be found at: http://www.csee.wvu.edu/~ross/BiometricsTextBook/. Designed for undergraduate and graduate students in computer science and electrical engineering, "Introduction to Biometrics" is also suitable for researchers and biometric and computer security professionals.
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 and government applications has increased public awareness of this technology. Recent years have seen significant growth in biometric research resulting in the development of innovative sensors, new algorithms, enhanced test methodologies and novel applications. This book addresses this void by inviting some of the prominent researchers in Biometrics to contribute chapters describing the fundamentals as well as the latest innovations in their respective areas of expertise.
Starting with fingerprints more than a hundred years ago, there has been ongoing research in biometrics. Within the last forty years face and speaker recognition have emerged as research topics. However, as recently as a decade ago, biometrics itself did not exist as an independent field. Each of the biometric-related topics grew out of different disciplines. For example, the study of fingerprints came from forensics and pattern recognition, speaker recognition evolved from signal processing, the beginnings of face recognition were in computer vision, and privacy concerns arose from the public policy arena. One of the challenges of any new field is to state what the core ideas are that define the field in order to provide a research agenda for the field and identify key research problems. Biometrics has been grappling with this challenge since the late 1990s. With the matu ration of biometrics, the separate biometrics areas are coalescing into the new discipline of biometrics. The establishment of biometrics as a recognized field of inquiry allows the research community to identify problems that are common to biometrics in general. It is this identification of common problems that will define biometrics as a field and allow for broad advancement.
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.
This book examines the proliferation of surveillance technologies&—such as facial recognition software and digital fingerprinting&—that have come to pervade our everyday lives. Often developed as methods to ensure "national security," these technologies are also routinely employed to regulate our personal information, our work lives, what we buy, and how we live.
Managing identity through biometric technology has become a routine and ubiquitous practice in recent years. This book interrogates what is at stake in the merging of the body and technology for surveillance and securitization purposes drawing on a number of critical theories and philosophies.
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).
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.
Although biometric systems present powerful alternatives to traditional authentication schemes, there are still many concerns about their security. Advances in Biometrics for Secure Human Authentication and Recognition showcases some of the latest technologies and algorithms being used for human authentication and recognition. Examining the full range of biometrics solutions, including unimodal and multimodal biometrics, the book covers conventional techniques as well as novel systems that have been developed over the past few years. It presents new biometric algorithms with novel feature extraction techniques, new computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems. Filled with comprehensive graphical and modular illustrations, the text covers applications of affective computing in biometrics, matching sketch to photograph, cryptography approaches in biometrics, biometrics alteration, heterogeneous biometrics, and age invariant biometrics. It also presents biometrics algorithms with novel feature extraction techniques, computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems. Containing the work of some of the world’s most respected biometrics researchers, the book includes model question papers, mathematical notations, and exercises to reinforce understanding. Providing an up-to-date review of intelligence techniques and theories used in biometric technologies for secure human authentication and identification, this is an essential reference for researchers, scholars, graduate students, engineers, practitioners, and developers in the field of biometrics and its related fields.