This book considers biometric technology in a broad light, integrating the concept seamlessly into mainstream IT, while discussing the cultural attitudes and the societal impact of identity management. Features: summarizes the material covered at the beginning of every chapter, and provides chapter-ending review questions and discussion points; reviews identity verification in nature, and early historical interest in anatomical measurement; provides an overview of biometric technology, presents a focus on biometric systems and true systems integration, examines the concept of identity management, and predicts future trends; investigates performance issues in biometric systems, the management and security of biometric data, and the impact of mobile devices on biometrics technology; explains the equivalence of performance across operational nodes, introducing the APEX system; considers the legal, political and societal factors of biometric technology, in addition to user psychology and other human factors.

This book considers biometric technology in a broad light, integrating the concept seamlessly into mainstream IT, while discussing the cultural attitudes and the societal impact of identity management. Features: summarizes the material covered at the beginning of every chapter, and provides chapter-ending review questions and discussion points; reviews identity verification in nature, and early historical interest in anatomical measurement; provides an overview of biometric technology, presents a focus on biometric systems and true systems integration, examines the concept of identity management, and predicts future trends; investigates performance issues in biometric systems, the management and security of biometric data, and the impact of mobile devices on biometrics technology; explains the equivalence of performance across operational nodes, introducing the APEX system; considers the legal, political and societal factors of biometric technology, in addition to user psychology and other human factors.

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 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.

This book takes a fresh look at biometrics and identity management, extending the dialogue beyond technical considerations, and exploring some of the broader societal and philosophical aspects surrounding the use of biometric applications. Features: presents a brief history of the development of biometrics, and describes some of the popularly held misconceptions surrounding the technology; investigates the challenges and possibilities of biometrics across third party infrastructures and on mobile computing devices; provides guidance on biometric systems design; explores the mechanisms necessary to enable identity intelligence, including logging mechanisms, data communications and data formats; discusses such usage issues as collaboration frameworks, and messaging and data translation; examines the impact of biometric technologies on society, covering issues of privacy and user factors; reviews the current situation in identity management, and predicts where these trends may take us in the future.

Since the mid-nineteenth century, there has been a notable acceleration in the development of the techniques used to confirm identity. From fingerprints to photographs to DNA, we have been rapidly amassing novel means of identification, even as personal, individual identity remains a complex chimera. The Art of Identification examines how such processes are entangled within a wider sphere of cultural identity formation. Against the backdrop of an unstable modernity and the rapid rise and expansion of identificatory techniques, this volume makes the case that identity and identification are mutually imbricated and that our best understanding of both concepts and technologies comes through the interdisciplinary analysis of science, bureaucratic infrastructures, and cultural artifacts. With contributions from literary critics, cultural historians, scholars of film and new media, a forensic anthropologist, and a human bioarcheologist, this book reflects upon the relationship between the bureaucratic, scientific, and technologically determined techniques of identification and the cultural contexts of art, literature, and screen media. In doing so, it opens the interpretive possibilities surrounding identification and pushes us to think about it as existing within a range of cultural influences that complicate the precise formulation, meaning, and reception of the concept. In addition to the editors, the contributors to this volume include Dorothy Butchard, Patricia E. Chu, Jonathan Finn, Rebecca Gowland, Liv Hausken, Matt Houlbrook, Rob Lederer, Andrew Mangham, Victoria Stewart, and Tim Thompson.

Mobilities has become an important framework to understand and analyze contemporary social, spatial, economic and political practices. Especially as mobile media become seamlessly integrated into transportation networks, navigating urban spaces, and connecting with social networks while on the move, researchers need new approaches and methods to bring together mobilities with mobile communication and locative media. Mobile communication scholars have focused on cell phones, often ignoring broader connections to urban spaces, geography, and locational media. As a result, they emphasized virtual mobility and personalized communication as a way of disconnecting from place, location and publics. The growing pervasiveness of location-aware technology urges us to rethink the intersection among location, mobile technologies and mobility. Few studies have addressed the many transformations taking place in mobile sociality and in urban spatial processes through the appropriation of these technologies. Chapter 12 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 3.0 license.

"The Biometric Computing: Recognition & Registration" presents introduction of biometrics along with detailed analysis for identification and recognition methods. This book forms the required platform for understanding biometric computing and its implementation for securing target system. It also provides the comprehensive analysis on algorithms, architectures and interdisciplinary connection of biometric computing along with detailed case-studies for newborns and resolution spaces. The strength of this book is its unique approach starting with how biometric computing works to research paradigms and gradually moves towards its advancement. This book is divided into three parts that comprises basic fundamentals and definitions, algorithms and methodologies, and futuristic research and case studies. Features: A clear view to the fundamentals of Biometric Computing Identification and recognition approach for different human characteristics Different methodologies and algorithms for human identification using biometrics traits such as face, Iris, fingerprint, palm print, voiceprint etc. Interdisciplinary connection of biometric computing with the fields like deep neural network, artificial intelligence, Internet of Biometric Things, low resolution face recognition etc. This book is an edited volume by prominent invited researchers and practitioners around the globe in the field of biometrics, describes the fundamental and recent advancement in biometric recognition and registration. This book is a perfect research handbook for young practitioners who are intending to carry out their research in the field of Biometric Computing and will be used by industry professionals, graduate and researcher students in the field of computer science and engineering.

Details multimodal biometrics and its exceptional utility for increasingly reliable human recognition systems. Reveals the substantial advantages of multimodal systems over conventional identification methods.