Behavioral Biometrics for Human Identification: Intelligent Applications


Book Description

"This edited book provides researchers and practitioners a comprehensive understanding of the start-of-the-art of behavioral biometrics techniques, potential applications, successful practice, and available resources"--Provided by publisher.




Behavioral Biometrics


Book Description

With the advent of the internet as a medium for performing business transactions, the need for a secure communication channel has never been more paramount. The study of behavioral biometrics - the verification and/or identification of individuals based on the way they provide information to an authentication system - originated from the need for a small footprint, versatile alternative to expensive hardware-based, or physiological, biometrics. As an emerging alternative to these traditional and more well-known physiological biometrics such as fingerprinting or iris scans, behavorial biometrics can offer state-of-the-art solutions to identity management requirements as either a stand-alone system or part of a multi-biometric security system. Whilst there are many existing texts that focus on physiological biometrics or algorithmic approaches deployed in biometrics, Behavioral Biometrics addresses a gap in the existing literature for a text that is solely dedicated to the topic of behavioral biometrics. The author presents a thorough analysis of the latest research into well-known techniques such as signature verification and voice recognition, as well more recently developed and ground-breaking techniques including keyboard/ mouse dynamics, gait analysis, odour analysis and salinity testing, which are ever increasing in reliability; discusses exciting future trends that focus on the brain-computer interface using EEG technology and may one day enable human-machine interaction via brainwave patterns; describes the central applications for the technology within e-commerce and related industries, and provides a number of comprehensive case studies of major implementations that provide the user with a strong sense of the approaches employed in the various subdomains of behavioral biometrics. provides a comprehensive glossary of terms as well as a rich set of references and websites that enable the reader to explore and augment topics as required. Behavioral Biometrics will appeal to graduate and postgraduate students, as well as researchers wishing to explore this fascinating research topic, in areas of biometrics and computer science including classification algorithms, pattern recognition, artificial intelligence & security and digital forensics. In addition, it will serve as a reference for system integrators, CIOs, and related professionals who are charged with implementing security features at their organization.




Biometric Recognition


Book Description

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.




Biometric Systems


Book Description

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.




Biometrics For Dummies


Book Description

What is biometrics? Whether you’re just curious about how biometrics can benefit society or you need to learn how to integrate biometrics with an existing security system in your organization, Biometrics For Dummies can help. Here’s a friendly introduction to biometrics — the science of identifying humans based on unique physical characteristics. With the government’s use of biometrics — for example, biometric passport readers — and application of the technology for law enforcement, biometrics is growing more popular among security experts. Biometrics For Dummies explains biometric technology, explores biometrics policy and privacy issues with biometrics, and takes a look at where the science is heading. You’ll discover: How pattern recognition and fingerprint recognition are used The many vulnerabilities of biometric systems and how to guard against them How various countries are handling the privacy issues and what can be done to protect citizens’ privacy How a scan of the palm, veins in the hand, and sonar imagery establish identity What it takes to fully authenticate a signature How gait, speech, linguistic analysis, and other types of biometric identification come into play The criteria for setting up an implementation plan How to use authentication, authorization, and access principles Written by a pair of security experts, Biometrics For Dummies gives you the basics in an easy-to-understand format that doesn’t scrimp on substance. You’ll get up to speed and enjoy getting there!




Biometrics


Book Description

Biometrics uses methods for unique recognition of humans based upon one or more intrinsic physical or behavioral traits. In computer science, particularly, biometrics is used as a form of identity access management and access control. It is also used to identify individuals in groups that are under surveillance. The book consists of 13 chapters, each focusing on a certain aspect of the problem. The book chapters are divided into three sections: physical biometrics, behavioral biometrics and medical biometrics. The key objective of the book is to provide comprehensive reference and text on human authentication and people identity verification from both physiological, behavioural and other points of view. It aims to publish new insights into current innovations in computer systems and technology for biometrics development and its applications. The book was reviewed by the editor Dr. Jucheng Yang, and many of the guest editors, such as Dr. Girija Chetty, Dr. Norman Poh, Dr. Loris Nanni, Dr. Jianjiang Feng, Dr. Dongsun Park, Dr. Sook Yoon and so on, who also made a significant contribution to the book.




Image Pattern Recognition


Book Description

The field of biometrics utilizes computer models of the physical and behavioral characteristics of human beings with a view to reliable personal identification. The human characteristics of interest include visual images, speech, and indeed anything which might help to uniquely identify the individual. The other side of the biometrics coin is biometric synthesis OCo rendering biometric phenomena from their corresponding computer models. For example, we could generate a synthetic face from its corresponding computer model. Such a model could include muscular dynamics to model the full gamut of human emotions conveyed by facial expressions. This book is a collection of carefully selected papers presenting the fundamental theory and practice of various aspects of biometric data processing in the context of pattern recognition. The traditional task of biometric technologies OCo human identification by analysis of biometric. data OCo is extended to include the new discipline of biometric synthesis."




Computer Analysis of Human Behavior


Book Description

This book provides a broad survey of advanced pattern recognition techniques for human behavior analysis. Clearly structured, the book begins with concise coverage of the major concepts, before introducing the most frequently used techniques and algorithms in detail, and then discussing examples of real applications. Features: contains contributions from an international selection of experts in the field; presents a thorough introduction to the fundamental topics of human behavior analysis; investigates methods for activity recognition, including gait and posture analysis, hand gesture analysis, and semantics of human behavior in image sequences; provides an accessible psychological treatise on social signals for the analysis of social behaviors; discusses voice and speech analysis, combined audiovisual cues, and social interactions and group dynamics; examines applications in different research fields; each chapter concludes with review questions, a summary of the topics covered, and a glossary.




Human Identification Using Soft Biometrics


Book Description

Humans naturally use descriptions to verbally convey the appearance of an individual. Eyewitness descriptions are an important resource for many criminal investigations. However, they cannot be used to automatically search databases featuring video or biometric data - reducing the utility of human descriptions in the search for the suspect. Soft biometrics are a new form of biometric identification which uses physical or behavioural traits that can be naturally described by humans. This thesis will explore how soft biometrics can be used alongside traditional biometrics, allowing video footage and biometric data to be searched using a description. To permit soft biometric identification the human description must be accurate, yet conventional descriptions comprising of absolute labels and estimations are often unreliable. A novel method of obtaining human descriptions will be introduced which utilizes comparative categorical labels to describe the differences between subjects. A database of facial and bodily comparative labels is introduced and analysed. Prior to use as a biometric feature, comparative descriptions must be anchored. Several techniques to convert multiple comparative labels into a single relative measurement are explored. Recognition experiments were conducted to assess the discriminative capabilities of relative measurements as a biometric. Relative measurements can also be obtained from other forms of human representation. This is demonstrated using several machine learning techniques to determine relative measurements from gait biometric signatures. Retrieval results are presented showing the ability to automatically search video footage using comparative descriptions.




Recent Advances in Biometrics


Book Description

Biometrics are widely used in various real-life applications, including personal recognition, identification, verification, and more. They may also be used for safety, security, permission, banking, crime prevention, forensics, medical applications, and communication. This book explores the latest developments, theories, methods, approaches, algorithms, analysis, systems, hardware, and software in biometrics and related systems.