Multibiometric Systems

Multibiometric Systems PDF Author: Karthik Nandakumar
Publisher:
ISBN:
Category : Biometric identification
Languages : en
Pages : 506

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Book Description
Multibiometric systems are gaining popularity because they are able to overcome limitations such as non-universality, noisy sensor data and susceptibility to spoof attacks common in unibiometric systems. We address two critical issues in the design of a multibiometric system, namely, fusion methodology and template security. We propose a fusion methodology based on the Neyman-Pearson theorem for combination of match scores provided by multiple biometric matchers. The likelihood ratio (LR) test used in the Neyman-Pearson theorem directly maximizes the genuine accept rate (GAR) at any desired false accept rate (FAR). We extend the likelihood ratio based fusion scheme to incorporate the quality of the biometric samples. The LR framework can be used for designing sequential multibiometric systems by constructing a binary decision tree classifier based on the marginal likelihood ratios of the individual matchers. The use of image quality information further improves the GAR to 90% at a FAR of 0:001%. Next, we show that the proposed likelihood ratio based fusion framework is also applicable to a multibiometric system operating in the identification mode. We investigate rank level fusion strategies and propose a hybrid scheme that utilizes both ranks and scores to perform fusion in the identification scenario. Fusion of multiple biometric sources requires storage of multiple templates for the same user corresponding to the individual biometric sources. Template security is an important issue because stolen biometric templates cannot be revoked. We propose a scheme for securing multibiometric templates as a single entity using the fuzzy vault framework. We have developed fully automatic implementa- tions of a ngerprint-based fuzzy vault that secures minutiae templates and an iris cryptosystem that secures iris code templates. We also demonstrate that a multibiometric vault achieves better recognition performance and higher security compared to a unibiometric vault.

Multibiometric Systems

Multibiometric Systems PDF Author: Karthik Nandakumar
Publisher:
ISBN:
Category : Biometric identification
Languages : en
Pages : 506

Get Book Here

Book Description
Multibiometric systems are gaining popularity because they are able to overcome limitations such as non-universality, noisy sensor data and susceptibility to spoof attacks common in unibiometric systems. We address two critical issues in the design of a multibiometric system, namely, fusion methodology and template security. We propose a fusion methodology based on the Neyman-Pearson theorem for combination of match scores provided by multiple biometric matchers. The likelihood ratio (LR) test used in the Neyman-Pearson theorem directly maximizes the genuine accept rate (GAR) at any desired false accept rate (FAR). We extend the likelihood ratio based fusion scheme to incorporate the quality of the biometric samples. The LR framework can be used for designing sequential multibiometric systems by constructing a binary decision tree classifier based on the marginal likelihood ratios of the individual matchers. The use of image quality information further improves the GAR to 90% at a FAR of 0:001%. Next, we show that the proposed likelihood ratio based fusion framework is also applicable to a multibiometric system operating in the identification mode. We investigate rank level fusion strategies and propose a hybrid scheme that utilizes both ranks and scores to perform fusion in the identification scenario. Fusion of multiple biometric sources requires storage of multiple templates for the same user corresponding to the individual biometric sources. Template security is an important issue because stolen biometric templates cannot be revoked. We propose a scheme for securing multibiometric templates as a single entity using the fuzzy vault framework. We have developed fully automatic implementa- tions of a ngerprint-based fuzzy vault that secures minutiae templates and an iris cryptosystem that secures iris code templates. We also demonstrate that a multibiometric vault achieves better recognition performance and higher security compared to a unibiometric vault.

Handbook of Multibiometrics

Handbook of Multibiometrics PDF Author: Arun A. Ross
Publisher: Springer Science & Business Media
ISBN: 0387331239
Category : Computers
Languages : en
Pages : 218

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

Handbook of Remote Biometrics

Handbook of Remote Biometrics PDF Author: Massimo Tistarelli
Publisher: Springer Science & Business Media
ISBN: 1848823851
Category : Computers
Languages : en
Pages : 380

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Book Description
The development of technologies for the identi?cation of individuals has driven the interest and curiosity of many people. Spearheaded and inspired by the Bertillon coding system for the classi?cation of humans based on physical measurements, scientists and engineers have been trying to invent new devices and classi?cation systems to capture the human identity from its body measurements. One of the main limitations of the precursors of today’s biometrics, which is still present in the vast majority of the existing biometric systems, has been the need to keep the device in close contact with the subject to capture the biometric measurements. This clearly limits the applicability and convenience of biometric systems. This book presents an important step in addressing this limitation by describing a number of methodologies to capture meaningful biometric information from a distance. Most materials covered in this book have been presented at the International Summer School on Biometrics which is held every year in Alghero, Italy and which has become a ?agship activity of the IAPR Technical Committee on Biometrics (IAPR TC4). The last four chapters of the book are derived from some of the best p- sentations by the participating students of the school. The educational value of this book is also highlighted by the number of proposed exercises and questions which will help the reader to better understand the proposed topics.

Multibiometrics for Human Identification

Multibiometrics for Human Identification PDF Author: Bir Bhanu
Publisher: Cambridge University Press
ISBN: 1139501801
Category : Computers
Languages : en
Pages : 411

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Book Description
In today's security-conscious society, real-world applications for authentication or identification require a highly accurate system for recognizing individual humans. The required level of performance cannot be achieved through the use of a single biometric such as face, fingerprint, ear, iris, palm, gait or speech. Fusing multiple biometrics enables the indexing of large databases, more robust performance and enhanced coverage of populations. Multiple biometrics are also naturally more robust against attacks than single biometrics. This book addresses a broad spectrum of research issues on multibiometrics for human identification, ranging from sensing modes and modalities to fusion of biometric samples and combination of algorithms. It covers publicly available multibiometrics databases, theoretical and empirical studies on sensor fusion techniques in the context of biometrics authentication, identification and performance evaluation and prediction.

Multimodal Biometrics and Intelligent Image Processing for Security Systems

Multimodal Biometrics and Intelligent Image Processing for Security Systems PDF Author: Marina L. Gavrilova
Publisher: IGI Global
ISBN: 1466636475
Category : Law
Languages : en
Pages : 233

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Book Description
"This book provides an in-depth description of existing and fresh fusion approaches for multimodal biometric systems, covering relevant topics affecting the security and intelligent industries"--Provided by publisher.

Introduction to Biometrics

Introduction to Biometrics PDF Author: Anil K. Jain
Publisher: Springer Nature
ISBN: 3031616758
Category :
Languages : en
Pages : 418

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Book Description


Vein Pattern Recognition

Vein Pattern Recognition PDF Author: Chuck Wilson
Publisher: CRC Press
ISBN: 1439821380
Category : Business & Economics
Languages : en
Pages : 310

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Book Description
As one of the most promising biometric technologies, vein pattern recognition (VPR) is quickly taking root around the world and may soon dominate applications where people focus is key. Among the reasons for VPR‘s growing acceptance and use: it is more accurate than many other biometric methods, it offers greater resistance to spoofing, it focuses

Face Biometrics for Personal Identification

Face Biometrics for Personal Identification PDF Author: Besma Abidi
Publisher: Springer Science & Business Media
ISBN: 3540493468
Category : Computers
Languages : en
Pages : 276

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Book Description
This book provides ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems.

Smart City and Informatization

Smart City and Informatization PDF Author: Guojun Wang
Publisher: Springer Nature
ISBN: 9811513015
Category : Computers
Languages : en
Pages : 685

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Book Description
This book constitutes the refereed proceedings of the 7th International Conference on Smart City and Informatization, iSCI 2019, held in Guangzhou, China, in November 2019. The volume presents 52 full papers, which were carefully reviewed and selected from 139 submissions. The papers are organized in topical sections on Internet of Things (IoT) and smart sensing; urban computing and big data; smart society informatization technologies; cloud/edge/fog computing for smart city; applications for smart city informatization; assistive engineering and information technology; cyberspace security; blockchain and applications.

Inventive Communication and Computational Technologies

Inventive Communication and Computational Technologies PDF Author: G. Ranganathan
Publisher: Springer Nature
ISBN: 9811655294
Category : Technology & Engineering
Languages : en
Pages : 1016

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Book Description
This book gathers selected papers presented at the Inventive Communication and Computational Technologies conference (ICICCT 2021), held on 25–26 June 2021 at Gnanamani College of Technology, Tamil Nadu, India. The book covers the topics such as Internet of things, social networks, mobile communications, big data analytics, bio-inspired computing, and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.