Multimodal Biometric Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multimodal Biometric Systems write by Rashmi Gupta. This book was released on 2021-09-26. Multimodal Biometric Systems available in PDF, EPUB and Kindle. 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.
Multimodal Biometrics and Intelligent Image Processing for Security Systems
Multimodal Biometrics and Intelligent Image Processing for Security Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multimodal Biometrics and Intelligent Image Processing for Security Systems write by Marina L. Gavrilova. This book was released on 2013-03-31. Multimodal Biometrics and Intelligent Image Processing for Security Systems available in PDF, EPUB and Kindle. "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.
Multimodal Biometric Systems
Multimodal Biometric Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multimodal Biometric Systems write by Rashmi Gupta. This book was released on 2021-09-26. Multimodal Biometric Systems available in PDF, EPUB and Kindle. 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.
Biometric Systems
Biometric Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Biometric Systems write by Loris Nanni. This book was released on 2021-09-01. Biometric Systems available in PDF, EPUB and Kindle. 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.
Multimodal Biometrics for Person Authentication
Multimodal Biometrics for Person Authentication - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multimodal Biometrics for Person Authentication write by Ryszard S. Choras. This book was released on 2019. Multimodal Biometrics for Person Authentication available in PDF, EPUB and Kindle. Unimodal biometric systems have limited effectiveness in identifying people, mainly due to their susceptibility to changes in individual biometric features and presentation attacks. The identification of people using multimodal biometric systems attracts the attention of researchers due to their advantages, such as greater recognition efficiency and greater security compared to the unimodal biometric system. To break into the biometric multimodal system, the intruder would have to break into more than one unimodal biometric system. In multimodal biometric systems: The availability of many features means that the multimodal system becomes more reliable. A multimodal biometric system increases security and ensures confidentiality of user data. A multimodal biometric system realizes the merger of decisions taken under individual modalities. If one of the modalities is eliminated, the system can still ensure security, using the remaining. Multimodal systems provide information on the ,Äúliveness,Äù of the sample being introduced. In a multimodal system, a fusion of feature vectors and/or decisions developed by each subsystem is carried out, and then the final decision on identification is made on the basis of the vector of features thus obtained. In this chapter, we consider a multimodal biometric system that uses three modalities: dorsal vein, palm print, and periocular.
