Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Fusion Of Multimodal Biometrics Using Feature And Score Level Fusion
Download Fusion Of Multimodal Biometrics Using Feature And Score Level Fusion full books in PDF, epub, and Kindle. Read online Fusion Of Multimodal Biometrics Using Feature And Score Level Fusion ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Fusion of Multimodal Biometrics using Feature and Score Level Fusion by : S.Mohana Prakash
Download or read book Fusion of Multimodal Biometrics using Feature and Score Level Fusion written by S.Mohana Prakash and published by Infinite Study. This book was released on with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biometrics is used to uniquely identify a person‘s individual based on physical and behavioural characteristics. Unimodal biometric system contains various problems such as degree of freedom, spoof attacks, non-universality, noisy data and error rates. Multimodal biometrics is introduced to overcome the limitations in Unimodal biometrics.
Book Synopsis New Multimodal Biometric Systems with Feature-Level and Score-Level Fusions by : Waziha Kabir
Download or read book New Multimodal Biometric Systems with Feature-Level and Score-Level Fusions written by Waziha Kabir and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, biometric-based authentication systems have become very important in view of their ability to prevent identity theft by identifying an individual with high accuracy and reliability. Multimodal biometric systems have now drawn some attention in view of their ability to provide a performance superior to that provided by the corresponding unimodal biometric systems by utilizing more than one biometric modality. The existing multimodal biometric systems fuse multiple modalities at a single level, such as sensor, feature, score, rank or decision, and no study to fuse the modalities at more than one level that may lead to a further improvement in the performance of multimodal biometric systems, has been hitherto undertaken. In this thesis, multimodal biometric systems, wherein fusions of the modalities are carried out at more than one level, are investigated. In order to improve the performance of multimodal biometric systems over unimodal biometric systems, normalization and weighting of scores from multiple matchers are essential tasks. In view of this, in the first part of the thesis, a number of normalization and weighting techniques under the score level fusion are investigated. Unlike the existing normalization techniques that are based only on the genuine scores, four new techniques based on both the genuine and impostor scores, are proposed. Two weighting techniques that are based on confidence of the scores, are proposed. Extensive experiments are conducted to evaluate the performance of the multimodal biometric system under the score-level fusion (MBS-SL) using the proposed normalization and weighting techniques. The focus of the second part of this thesis is on the development of multimodal biometric systems, wherein fusions of the modalities are carried out at multiple levels. Specifically, two multimodal biometric systems, in which three modalities are used for their fusion both at the feature level and the score level, are proposed. In the first multimodal biometric system, referred to as the multimodal biometric system with feature level and score level (MBS-FSL) fusions, the features of the three modalities are encoded using the binary hash encoding technique. Unlike the existing techniques for feature level fusion that use unencoded features, this encoding technique allows the neighbourhood feature information to be taken into account. The score-level fusion is carried out on the score obtained from the feature-level fusion and the score from the matching module of the modality that has the lowest equal error rate. In the proposed MBS-FSL, the border values of raw features could not participate in the encoding in view 4-connected neighbors not being available. In order to take both the border and non-border information as well as the neighbourhood information into consideration, a second multimodal biometric system, referred to as the multimodal biometric system with modified feature level and score level (MBS-MFSL) fusions, is proposed, wherein both the raw and encoded features are taken into account. In this system, the feature-level fusion is carried out in a manner similar to that for the MBS-FSL system. The score-level fusion is then carried out between the score obtained from the feature-level fusion, the score from the matching module of the modality that was not utilized in the feature-level fusion, and the scores from individual modalities by using their raw features. Extensive experiments are performed to evaluate the performance of the two proposed multimodal biometric systems. The results of these experiments demonstrate that both of the proposed multimodal biometric systems provide performance superior to that provided by the existing multimodal biometric systems in which fusion of modalities is carried out at a single level, namely, the score level. Experimental results also show that, in view of both the border and neighbourhood feature information being considered in the proposed MBS-MFSL system, it provides a performance superior to that provided by MBS-FSL system. The investigation undertaken in this thesis is aimed at advancing the present knowledge in the field of human biometric identification by considering, for the first time, the fusion of the modalities at two levels, namely, the feature and score levels, and it is hoped that the findings of this study would pave the way for further research in the development of new multimodal biometric systems employing fusion of modalities at multiple levels.
Book Synopsis 2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) by :
Download or read book 2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) written by and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in Biometrics by : Massimo Tistarelli
Download or read book Advances in Biometrics written by Massimo Tistarelli and published by Springer Science & Business Media. This book was released on 2009-05-25 with total page 1323 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Biometrics, ICB 2009, held in Alghero, Italy, June 2-5, 2009. The 36 revised full papers and 93 revised poster papers presented were carefully reviewed and selected from 250 submissions. Biometric criteria covered by the papers are assigned to face, speech, fingerprint and palmprint, multibiometrics and security, gait, iris, and other biometrics. In addition there are 4 papers on challenges and competitions that currently are under way, thus presenting an overview on the evaluation of biometrics.
Book Synopsis Multibiometric Systems by : Karthik Nandakumar
Download or read book Multibiometric Systems written by Karthik Nandakumar and published by . This book was released on 2008 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Score-level fusion for multimodal biometrics by : Fawaz Alsaade
Download or read book Score-level fusion for multimodal biometrics written by Fawaz Alsaade and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Encyclopedia of Biometrics by : Stan Z. Li
Download or read book Encyclopedia of Biometrics written by Stan Z. Li and published by Springer Science & Business Media. This book was released on 2009-08-27 with total page 1466 pages. Available in PDF, EPUB and Kindle. Book excerpt: With an A–Z format, this encyclopedia provides easy access to relevant information on all aspects of biometrics. It features approximately 250 overview entries and 800 definitional entries. Each entry includes a definition, key words, list of synonyms, list of related entries, illustration(s), applications, and a bibliography. Most entries include useful literature references providing the reader with a portal to more detailed information.
Book Synopsis Image Analysis and Processing -- ICIAP 2009 by : Pasquale Foggia
Download or read book Image Analysis and Processing -- ICIAP 2009 written by Pasquale Foggia and published by Springer. This book was released on 2009-08-29 with total page 1075 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th International Conference on Image Analysis and Processing, ICIAP 2009, held in Vietri sul Mare, Italy, in September 2009. The 107 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 168 submissions. The papers are organized in topical sections on computer graphics and image processing, low and middle level processing, 2D and 3D segmentation, feature extraction and image analysis, object detection and recognition, video analysis and processing, pattern analysis and classification, learning, graphs and trees, applications, shape analysis, face analysis, medical imaging, and image analysis and pattern recognition.
Book Synopsis Handbook of Multibiometrics by : Arun A. Ross
Download or read book Handbook of Multibiometrics written by Arun A. Ross and published by Springer Science & Business Media. This book was released on 2006-08-11 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Details multimodal biometrics and its exceptional utility for increasingly reliable human recognition systems. Reveals the substantial advantages of multimodal systems over conventional identification methods.
Book Synopsis Handbook of Vascular Biometrics by : Andreas Uhl
Download or read book Handbook of Vascular Biometrics written by Andreas Uhl and published by Springer Nature. This book was released on 2020-01-01 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open datasets/open source software, individual chapters focus on specific aspects of one of the biometric modalities, including questions of usability, security, and privacy. The book features contributions from both academia and major industrial manufacturers.
Book Synopsis Multimodal Biometrics Score Level Fusion Using Non-confidence Information by : C. Chaw Poh
Download or read book Multimodal Biometrics Score Level Fusion Using Non-confidence Information written by C. Chaw Poh and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Biometric Systems by : James L. Wayman
Download or read book Biometric Systems written by James L. Wayman and published by Springer Science & Business Media. This book was released on 2005-09-20 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Biometric Authentication by : David Zhang
Download or read book Biometric Authentication written by David Zhang and published by Springer Science & Business Media. This book was released on 2004-07 with total page 820 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Biometric Authentication, ICBA 2004, held in Hong Kong, China in July 2004. The 104 revised full papers presented were carefully reviewed and selected from 157 submissions; also included are summaries of 3 biometric competitions on fingerprint verification, face authentication, and signature verification. The papers are organized in topical sections on face, fingerprint, iris, signature, speech, biometric fusion and risk analysis, and other biometric issues.
Book Synopsis Proceedings of Data Analytics and Management by : Deepak Gupta
Download or read book Proceedings of Data Analytics and Management written by Deepak Gupta and published by Springer Nature. This book was released on 2021-11-21 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.
Book Synopsis Multimodal Biometrics and Intelligent Image Processing for Security Systems by : Marina L. Gavrilova
Download or read book Multimodal Biometrics and Intelligent Image Processing for Security Systems written by Marina L. Gavrilova and published by IGI Global. This book was released on 2013-03-31 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
Book Synopsis Multimodal Biometric Identification System by : Sampada Dhole
Download or read book Multimodal Biometric Identification System written by Sampada Dhole and published by . This book was released on 2024-10-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a novel method of multimodal biometric fusion using a random selection of biometrics, which covers a new method of feature extraction, a new framework of sensor level and feature level fusion. Most of the biometric systems presently use unimodal systems which have several limitations. Multimodal systems can increase the matching accuracy of a recognition system. This monograph shows how the problems of unimodal systems can be efficiently dealt with and focuses on multimodal biometric identification and sensor-level feature-level fusion. It discusses fusion in biometric systems to improve performance. - Presents a random selection of biometrics to ensure that the system is interacting with a live user - Offers a compilation of all techniques used for unimodal as well as multimodal biometric identification systems, elaborated with required justification & interpretation with case studies, suitable figures, tables & graphs etc. - Shows that for feature level fusion using contourlet transform features with LDA for dimension reduction attains more accuracy compared to block variance features - Includes contribution in Feature Extraction & Pattern Recognition for increase in accuracy of the system - Explains contourlet transform as the best modality-specific feature extraction algorithms for fingerprint, face and palmprint This book is for researchers, scholars and students of Computer Science, Information Technology, Electronics and Electrical Engineering, Mechanical Engineering, and people working on biometrics applications.
Book Synopsis Adaptive Biometric Systems by : Ajita Rattani
Download or read book Adaptive Biometric Systems written by Ajita Rattani and published by Springer. This book was released on 2015-10-22 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This interdisciplinary volume presents a detailed overview of the latest advances and challenges remaining in the field of adaptive biometric systems. A broad range of techniques are provided from an international selection of pre-eminent authorities, collected together under a unified taxonomy and designed to be applicable to any pattern recognition system. Features: presents a thorough introduction to the concept of adaptive biometric systems; reviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) data; describes a novel semi-supervised training strategy known as fusion-based co-training; examines the characterization and recognition of human gestures in videos; discusses a selection of learning techniques that can be applied to build an adaptive biometric system; investigates procedures for handling temporal variance in facial biometrics due to aging; proposes a score-level fusion scheme for an adaptive multimodal biometric system.
