Author : Yaohui Ding
Publisher :
Page : 181 pages
File Size : 10,58 MB
Release : 2018
Category : Electronic dissertations
ISBN : 9780438208773
Author : Arun A. Ross
Publisher : Springer Science & Business Media
Page : 218 pages
File Size : 32,70 MB
Release : 2006-08-11
Category : Computers
ISBN : 0387331239
Details multimodal biometrics and its exceptional utility for increasingly reliable human recognition systems. Reveals the substantial advantages of multimodal systems over conventional identification methods.
Author : David Y. Zhang
Publisher : Springer
Page : 820 pages
File Size : 41,56 MB
Release : 2004-07-16
Category : Computers
ISBN : 3540259481
The past decade has seen a rapid growth in the demand for biometric-based - thentication solutions for a number of applications. With signi?cant advances in biometrictechnologyandanincreaseinthenumberofapplicationsincorporating biometrics, it is essential that we bring together researchers from academia and industry as well as practitioners to share ideas, problems and solutions for the development and successful deployment of state-of-the-art biometric systems. The InternationalConference onBiometric Authentication (ICBA 2004)was the?rst major gathering in the Asia-Paci?c region devoted to facilitating this interaction. We are pleased that this conference attracted a large number of high-quality research papers that will bene?t the international biometrics - search community. After a careful review of 157 submissions, 101 papers were acceptedeitherasoral(35)orposter(66)presentations. Inadditiontothesete- nical presentations, this conference also presented the results and summaries of threebiometric competitions: FingerprintVeri?cationCompetition (FVC 2004), Face Authentication Competition (FAC 2004), and Signature Veri?cation C- petition (SVC 2004). This conference provided a forum for the practitioners to discuss their practical experiences in applying the state-of-the-art biometric technologies which will further stimulate research in biometrics. We aregrateful to Jim L. Wayman, Edwin Rood, Raymond Wong, Jonathon Philips, andFrancisHoforacceptingourinvitationtogivekeynotetalksatICBA 2004. In addition, we would like to express our gratitude to all the contributors, reviewers, program committee and organizing committee members who made this a very successful conference. We also wish to acknowledge the Croucher Foundation, the International Association of Pattern Recognition, IEEE Hong Kong Section, the Hong Kong Polytechnic University, the National Natural S- ence Foundation in China, and Springer-Verlag for sponsoring this conference.
Author : Davide Maltoni
Publisher : Springer
Page : 353 pages
File Size : 50,61 MB
Release : 2004-09-21
Category : Computers
ISBN : 3540259767
Biometric authentication is increasingly gaining popularity in a large spectrum ofapplications,rangingfromgovernmentprograms(e. g. ,nationalIDcards,visas for international travel,and the ?ght against terrorism) to personal applications such as logical and physical access control. Although a number of e?ective - lutions are currently available, new approaches and techniques are necessary to overcomesomeofthelimitationsofcurrentsystemsandtoopenupnewfrontiers in biometric research and development. The 30 papers presented at Biometric Authentication Workshop 2004 (BioAW 2004) provided a snapshot of current research in biometrics, and identify some new trends. This volume is composed of?vesections:facerecognition,?ngerprintrecognition,templateprotectionand security, other biometrics, and fusion and multimodal biometrics. For classical biometrics like ?ngerprint and face recognition, most of the papers in Sect. 1 and 2 address robustness issues in order to make the biometric systems work in suboptimal conditions: examples include face detection and recognition - der uncontrolled lighting and pose variations, and ?ngerprint matching in the case of severe skin distortion. Benchmarking and interoperability of sensors and liveness detection are also topics of primary interest for ?ngerprint-based s- tems. Biometrics alone is not the solution for complex security problems. Some of the papers in Sect. 3 focus on designing secure systems; this requires dealing with safe template storage, checking data integrity, and implementing solutions in a privacy-preserving fashion. The match-on-tokens approach, provided that current accuracy and cost limitations can be satisfactorily solved by using new algorithms and hardware, is certainly a promising alternative. The use of new biometric indicators like eye movement, 3D ?nger shape, and soft traits (e. g.
Author : James L. Wayman
Publisher : Springer Science & Business Media
Page : 380 pages
File Size : 45,39 MB
Release : 2005-09-20
Category : Computers
ISBN : 1846280648
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.
Author : Christian Rathgeb
Publisher : Springer Science & Business Media
Page : 371 pages
File Size : 16,91 MB
Release : 2012-11-08
Category : Computers
ISBN : 1461455715
Iris Biometrics: From Segmentation to Template Security provides critical analysis, challenges and solutions on recent iris biometric research topics, including image segmentation, image compression, watermarking, advanced comparators, template protection and more. Open source software is also provided on a dedicated website which includes feature extraction, segmentation and matching schemes applied in this book to foster scientific exchange. Current state-of-the-art approaches accompanied by comprehensive experimental evaluations are presented as well. This book has been designed as a secondary text book or reference for researchers and advanced-level students in computer science and electrical engineering. Professionals working in this related field will also find this book useful as a reference.
Author : Jiankun Hu
Publisher : Cambridge Scholars Publishing
Page : 497 pages
File Size : 41,94 MB
Release : 2015-02-05
Category : Computers
ISBN : 144387499X
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.
Author : National Research Council
Publisher : National Academies Press
Page : 182 pages
File Size : 19,56 MB
Release : 2010-12-12
Category : Computers
ISBN : 0309142075
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.
Author : Patrizio Campisi
Publisher : Springer Science & Business Media
Page : 441 pages
File Size : 16,65 MB
Release : 2013-06-28
Category : Computers
ISBN : 1447152301
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.
Author : Jucheng Yang
Publisher : BoD – Books on Demand
Page : 148 pages
File Size : 30,74 MB
Release : 2018-08-29
Category : Computers
ISBN : 1789235901
We are entering the era of big data, and machine learning can be used to analyze this deluge of data automatically. Machine learning has been used to solve many interesting and often difficult real-world problems, and the biometrics is one of the leading applications of machine learning. This book introduces some new techniques on biometrics and machine learning, and new proposals of using machine learning techniques for biometrics as well. This book consists of two parts: "Biometrics" and "Machine Learning for Biometrics." Parts I and II contain four and three chapters, respectively. The book is reviewed by editors: Prof. Jucheng Yang, Prof. Dong Sun Park, Prof. Sook Yoon, Dr. Yarui Chen, and Dr. Chuanlei Zhang.
