Multibiometric Systems
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Multibiometric Systems
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Author : Karthik Nandakumar
language : en
Publisher:
Release Date : 2008
Multibiometric Systems written by Karthik Nandakumar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Biometric identification categories.
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
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Author : Arun A. Ross
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-08-11
Handbook Of Multibiometrics written by Arun A. Ross and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-11 with Computers categories.
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 Multibiometrics
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Author : Arun A. Ross
language : en
Publisher: Springer
Release Date : 2006-05-24
Handbook Of Multibiometrics written by Arun A. Ross and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-24 with Computers categories.
Details multimodal biometrics and its exceptional utility for increasingly reliable human recognition systems. Reveals the substantial advantages of multimodal systems over conventional identification methods.
Biometric Technology For Human Identification
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Author :
language : en
Publisher:
Release Date : 2007
Biometric Technology For Human Identification written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Biometric identification categories.
Integration Of Multiple Cues In Biometric Systems
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Author : Karthik Nandakumar
language : en
Publisher:
Release Date : 2005
Integration Of Multiple Cues In Biometric Systems written by Karthik Nandakumar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Biometric identification categories.
Multibiometrics Systems
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Author : Dakshina Ranjan Kisku
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2012-03
Multibiometrics Systems written by Dakshina Ranjan Kisku and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03 with categories.
In recent years, use of biometric systems has been increasing rapidly in the field of identity verification of individuals. Human physiological or behavioral characteristics are available uniquely to each individual as biometrics evidence. Unimodal biometrics systems are designed based on a single identifier, such as face, fingerprint, etc. However, it suffers from several limitations and due to these limitations it often degrades the performance. These limitations can be minimized by using multibiometric systems that consolidate evidences obtained from multiple biometrics sources. The overall aim of this book is to present some novel multibiometrics systems which can be used in different security related applications. Further, this book is an invaluable collection of most up-to-date multibiometrics algorithms which are presented with novel computer vision and machine learning techniques under a unified framework. This book will be helpful to industry practitioners, researchers and academicians who are engaged in various disciplines of system sciences, information security and identity businesses.
Annales Des T L Communications
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Author :
language : en
Publisher:
Release Date : 2007
Annales Des T L Communications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Telecommunication categories.
Proceedings
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Author :
language : en
Publisher:
Release Date : 2005
Proceedings written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Security systems categories.
Dissertation Abstracts International
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Author :
language : en
Publisher:
Release Date : 2008
Dissertation Abstracts International written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Dissertations, Academic categories.
Improving The Accuracy Of Fingerprinting System Using Multibiometric Approach
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Author : Safa M. Al-Taie
language : en
Publisher:
Release Date : 2015
Improving The Accuracy Of Fingerprinting System Using Multibiometric Approach written by Safa M. Al-Taie and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Biometric technology is a science that used to verify or identify the individual based on physical and/or behavioral traits. Although biometric systems are considered more secure than other traditional methods such as password, or key, they also have many limitations such as noisy image, or spoof attack. One of the solutions to overcome these limitations, is by applying a multibiometric system. Multibiometric system has a significant effect in improving the performance of both security and accuracy of the system. It also can alleviate the spoof attacks and reduce the fail to enroll error. A multi-sample is one implementations of the multibiometric systems. In this study, a new algorithm is suggested to provide a second chance for the genuine user who is rejected, to compare his/her provided finger with the other samples of the same finger. Multisampling fingerprint is used to implement this new algorithm. The algorithm is activated when the match score of the user is not equal to a threshold but close to it, then the system provides another chance to compare the fingerprint with another sample of the same trait. Using multi-sample biometric system improved the performance of the system by reducing the False Reject Rate (FRR). Applying the original matching algorithm on the presented database produced 3 genuine users, and 5 imposters for the same fingerprint. While after implementing the suggested condition, the system performance is enhanced by producing 6 genuine users, and 2 imposters for the same fingerprint. This work was built and executed depending on a previous Matlab code presented by Zhi Li Wu. Thresholds and ROC curves computed before and after implementing the suggested multibiometric algorithm. Both ROC curves compared. A final decision and recommendations are provided depending on the results obtained from this project.