Cross Disciplinary Biometric Systems

Cross Disciplinary Biometric Systems
Author: Chengjun Liu
Publisher: Springer Science & Business Media
Total Pages: 238
Release: 2012-04-18
Genre: Technology & Engineering
ISBN: 3642284574

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.

Cross Disciplinary Biometric Systems

Cross Disciplinary Biometric Systems
Author: Chengjun Liu
Publisher: Springer
Total Pages: 0
Release: 2014-05-09
Genre: Computers
ISBN: 9783642428401

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
Total Pages: 381
Release: 2005-12-12
Genre: Computers
ISBN: 038728222X

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
Total Pages: 785
Release: 2011-12-31
Genre: Computers
ISBN: 1613504306

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
Total Pages: 280
Release: 2012-10-16
Genre: Computers
ISBN: 146145607X

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.

Cross-disciplinary Applications of Artificial Intelligence and Pattern Recognition

Cross-disciplinary Applications of Artificial Intelligence and Pattern Recognition
Author: V. K. Mago
Publisher:
Total Pages: 754
Release: 2012
Genre: Artificial intelligence
ISBN: 9781613504314

"This book provides a common platform for researchers to present theoretical and applied research findings for enhancing and developing intelligent systems, discussing advances in and applications of pattern recognition technologies and artificial intelligence"--

Biometrics

Biometrics
Author: Anil K. Jain
Publisher: Springer Science & Business Media
Total Pages: 408
Release: 2006-04-18
Genre: Computers
ISBN: 0306470446

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.

The Biometric Computing

The Biometric Computing
Author: Karm Veer Arya
Publisher: CRC Press
Total Pages: 367
Release: 2019-11-05
Genre: Computers
ISBN: 1351013416

"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.