Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Multimodal Biometric Systems PDF full book. Access full book title Multimodal Biometric Systems by Rashmi Gupta. Download full books in PDF and EPUB format.
Author: Rashmi Gupta Publisher: CRC Press ISBN: 1000453774 Category : Computers Languages : en Pages : 167
Book Description
Many governments around the world are calling for the use of biometric systems to provide crucial societal functions, consequently making it an urgent area for action. The current performance of some biometric systems in terms of their error rates, robustness, and system security may prove to be inadequate for large-scale applications to process millions of users at a high rate of throughput. This book focuses on fusion in biometric systems. It discusses the present level, the limitations, and proposed methods to improve performance. It describes the fundamental concepts, current research, and security-related issues. The book will present a computational perspective, identify challenges, and cover new problem-solving strategies, offering solved problems and case studies to help with reader comprehension and deep understanding. This book is written for researchers, practitioners, both undergraduate and post-graduate students, and those working in various engineering fields such as Systems Engineering, Computer Science, Information Technology, Electronics, and Communications.
Author: Rashmi Gupta Publisher: ISBN: 9780367685577 Category : Biometric identification Languages : en Pages :
Book Description
"Several governments around the world are calling for the use of biometric systems to be used to deliver crucial societal functions, therefore making it an urgent need to act. The current performance of some biometric systems regarding the combination of error rate, robustness, and system security may prove to be inadequate for large-scale applications to process millions of users at a high throughput rate. This book focuses on fusion in biometric systems. It discusses the present level, the limitations, and proposed methods to improve performance. It describes the fundamental concepts, current research, and security related issues. The book will present a computational perspective, identify challenges, and cover new problem-solving strategies, offering solved problems and case studies to help with reader comprehension and deep understanding. This book is written for researchers, practitioners, both graduate and post graduate students, and those working in various engineering fields such as Systems Engineering, Computer Science, Information Technology, Electronics, and communications"--
Author: Marina L. Gavrilova Publisher: IGI Global ISBN: 1466636475 Category : Law Languages : en Pages : 233
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.
Author: Loris Nanni Publisher: MDPI ISBN: 3036511288 Category : Technology & Engineering Languages : en Pages : 352
Book Description
Because of the accelerating progress in biometrics research and the latest nation-state threats to security, this book's publication is not only timely but also much needed. This volume contains seventeen peer-reviewed chapters reporting the state of the art in biometrics research: security issues, signature verification, fingerprint identification, wrist vascular biometrics, ear detection, face detection and identification (including a new survey of face recognition), person re-identification, electrocardiogram (ECT) recognition, and several multi-modal systems. This book will be a valuable resource for graduate students, engineers, and researchers interested in understanding and investigating this important field of study.
Author: Rashmi Gupta Publisher: CRC Press ISBN: 1000453774 Category : Computers Languages : en Pages : 167
Book Description
Many governments around the world are calling for the use of biometric systems to provide crucial societal functions, consequently making it an urgent area for action. The current performance of some biometric systems in terms of their error rates, robustness, and system security may prove to be inadequate for large-scale applications to process millions of users at a high rate of throughput. This book focuses on fusion in biometric systems. It discusses the present level, the limitations, and proposed methods to improve performance. It describes the fundamental concepts, current research, and security-related issues. The book will present a computational perspective, identify challenges, and cover new problem-solving strategies, offering solved problems and case studies to help with reader comprehension and deep understanding. This book is written for researchers, practitioners, both undergraduate and post-graduate students, and those working in various engineering fields such as Systems Engineering, Computer Science, Information Technology, Electronics, and Communications.
Author: Arun A. Ross Publisher: Springer Science & Business Media ISBN: 0387331239 Category : Computers Languages : en Pages : 218
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.
Author: James L. Wayman Publisher: Springer Science & Business Media ISBN: 1846280648 Category : Computers Languages : en Pages : 370
Book Description
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: Ajita Rattani Publisher: Springer ISBN: 3319248650 Category : Computers Languages : en Pages : 134
Book Description
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.
Author: Besma Abidi Publisher: Springer Science & Business Media ISBN: 3540493468 Category : Computers Languages : en Pages : 275
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.
Author: Sandeep Kumar Publisher: John Wiley & Sons ISBN: 1119785472 Category : Computers Languages : en Pages : 340
Book Description
MULTIMODAL BIOMETRIC AND MACHINE LEARNING TECHNOLOGIES With an increasing demand for biometric systems in various industries, this book on multimodal biometric systems, answers the call for increased resources to help researchers, developers, and practitioners. Multimodal biometric and machine learning technologies have revolutionized the field of security and authentication. These technologies utilize multiple sources of information, such as facial recognition, voice recognition, and fingerprint scanning, to verify an individual???s identity. The need for enhanced security and authentication has become increasingly important, and with the rise of digital technologies, cyber-attacks and identity theft have increased exponentially. Traditional authentication methods, such as passwords and PINs, have become less secure as hackers devise new ways to bypass them. In this context, multimodal biometric and machine learning technologies offer a more secure and reliable approach to authentication. This book provides relevant information on multimodal biometric and machine learning technologies and focuses on how humans and computers interact to ever-increasing levels of complexity and simplicity. The book provides content on the theory of multimodal biometric design, evaluation, and user diversity, and explains the underlying causes of the social and organizational problems that are typically devoted to descriptions of rehabilitation methods for specific processes. Furthermore, the book describes new algorithms for modeling accessible to scientists of all varieties. Audience Researchers in computer science and biometrics, developers who are designing and implementing biometric systems, and practitioners who are using biometric systems in their work, such as law enforcement personnel or healthcare professionals.
Author: Sampada Dhole Publisher: ISBN: 9781032660585 Category : Computers Languages : en Pages : 0
Book Description
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.
Author: Rashmi Gupta
Author: Rashmi Gupta
Author: Marina L. Gavrilova
Author: Loris Nanni
Author: Rashmi Gupta
Author: Arun A. Ross
Author: James L. Wayman
Author: Ajita Rattani
Author: Besma Abidi
Author: Sandeep Kumar
Author: Sampada Dhole