Advanced Biometrics
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Advanced Biometrics
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Author : David Zhang
language : en
Publisher: Springer
Release Date : 2017-08-08
Advanced Biometrics written by David Zhang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-08 with Technology & Engineering categories.
This book describes a range of new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris technologies. Further, it introduces readers to efficient feature extraction, matching and fusion algorithms, in addition to developing potential systems of its own. These advanced biometric technologies and methods are divided as follows: 1. High-Resolution Fingerprint Recognition; 2. Finger-Knuckle-Print Verification; 3. Other Hand-Based Biometrics; and 4. New Head-Based Biometrics. Traditional biometric technologies, such as fingerprint, face, iris, and palmprint, have been extensively studied and addressed in many research books. However, all of these technologies have their own advantages and disadvantages, and there is no single type of biometric technology that can be used for all applications. Many new biometric technologies have been developed in recent years, especia lly in response to new applications. The contributions gathered here focus on how to develop a new biometric technology based on the requirements of essential applications, and how to design efficient algorithms that yield better performance.
Advanced Biometrics With Deep Learning
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Author : Andrew Teoh Beng Jin
language : en
Publisher: MDPI
Release Date : 2020-12-28
Advanced Biometrics With Deep Learning written by Andrew Teoh Beng Jin and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-28 with Business & Economics categories.
Biometrics, such as fingerprint, iris, face, hand print, hand vein, speech and gait recognition, etc., as a means of identity management have become commonplace nowadays for various applications. Biometric systems follow a typical pipeline, that is composed of separate preprocessing, feature extraction and classification. Deep learning as a data-driven representation learning approach has been shown to be a promising alternative to conventional data-agnostic and handcrafted pre-processing and feature extraction for biometric systems. Furthermore, deep learning offers an end-to-end learning paradigm to unify preprocessing, feature extraction, and recognition, based solely on biometric data. This Special Issue has collected 12 high-quality, state-of-the-art research papers that deal with challenging issues in advanced biometric systems based on deep learning. The 12 papers can be divided into 4 categories according to biometric modality; namely, face biometrics, medical electronic signals (EEG and ECG), voice print, and others.
Advanced Biometric Technologies
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Author : Girija Chetty
language : en
Publisher: BoD – Books on Demand
Release Date : 2011-08-09
Advanced Biometric Technologies written by Girija Chetty and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-09 with Computers categories.
The methods for human identity authentication based on biometrics - the physiological and behavioural characteristics of a person have been evolving continuously and seen significant improvement in performance and robustness over the last few years. However, most of the systems reported perform well in controlled operating scenarios, and their performance deteriorates significantly under real world operating conditions, and far from satisfactory in terms of robustness and accuracy, vulnerability to fraud and forgery, and use of acceptable and appropriate authentication protocols. To address some challenges, and the requirements of new and emerging applications, and for seamless diffusion of biometrics in society, there is a need for development of novel paradigms and protocols, and improved algorithms and authentication techniques. This book volume on "Advanced Biometric Technologies" is dedicated to the work being pursued by researchers around the world in this area, and includes some of the recent findings and their applications to address the challenges and emerging requirements for biometric based identity authentication systems. The book consists of 18 Chapters and is divided into four sections namely novel approaches, advanced algorithms, emerging applications and the multimodal fusion. The book was reviewed by editors Dr. Girija Chetty and Dr. Jucheng Yang We deeply appreciate the efforts of our guest editors: Dr. Norman Poh, Dr. Loris Nanni, Dr. Jianjiang Feng, Dr. Dongsun Park and Dr. Sook Yoon, as well as a number of anonymous reviewers.
Advanced Fingerprint Recognition From 3d Shape To Ridge Detail
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Author : Feng Liu
language : en
Publisher: Springer Nature
Release Date : 2020-05-22
Advanced Fingerprint Recognition From 3d Shape To Ridge Detail written by Feng Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-22 with Computers categories.
Fingerprints are among the most widely used biometric modalities and have been successfully applied in various scenarios. For example, in forensics, fingerprints serve as important legal evidence; and in civilian applications, fingerprints are used for access and attendance control as well as other identity services. Thanks to advances in three-dimensional (3D) and high-resolution imaging technology, it is now feasible to capture 3D or high-resolution fingerprints to provide extra information and go beyond the traditional features such as global ridge patterns and local ridge singularities used in conventional fingerprint recognition tasks. This book presents the state of the art in the acquisition and analysis of 3D and high-resolution fingerprints. Based on the authors’ research, this book focuses on advanced fingerprint recognition using 3D fingerprint features (i.e., finger shape, level 0 features) or high-resolution fingerprint features (i.e., ridge detail, level 3 features). It is a valuable resource for researchers, professionals and graduate students working in the field of computer vision, pattern recognition, security/biometrics practice, as well as interdisciplinary researchers.
Advances In Biometrics
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Author : N. K. Ratha
language : en
Publisher: Springer Science & Business Media
Release Date : 2008
Advances In Biometrics written by N. K. Ratha 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 2008 with Computers categories.
Recent advances in biometrics include new developments in sensors, modalities and algorithms. As new sensors are designed, newer challenges emerge in the algorithms for accurate recognition. Written for researchers, advanced students and practitioners to use as a handbook, this volume captures the very latest state-of-the-art research contributions from leading international researchers. It offers coverage of the entire gamut of topics in the field, including sensors, data acquisition, pattern-matching algorithms, and issues that impact at the system level, such as standards, security, networks, and databases
Advances In Biometrics
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Author : G.R. Sinha
language : en
Publisher: Springer Nature
Release Date : 2019-12-13
Advances In Biometrics written by G.R. Sinha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-13 with Medical categories.
This book provides a framework for robust and novel biometric techniques, along with implementation and design strategies. The theory, principles, pragmatic and modern methods, and future directions of biometrics are presented, along with in-depth coverage of biometric applications in driverless cars, automated and AI-based systems, IoT, and wearable devices. Additional coverage includes computer vision and pattern recognition, cybersecurity, cognitive computing, soft biometrics, and the social impact of biometric technology. The book will be a valuable reference for researchers, faculty, and practicing professionals working in biometrics and related fields, such as image processing, computer vision, and artificial intelligence. Highlights robust and novel biometrics techniques Provides implementation strategies and future research directions in the field of biometrics Includes case studies and emerging applications
Psychophysiological Advanced Applications Book
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Author : St. Clements University Academic Staff - Türkiye
language : en
Publisher: Prof. Dr. Bilal Semih Bozdemir
Release Date :
Psychophysiological Advanced Applications Book written by St. Clements University Academic Staff - Türkiye and has been published by Prof. Dr. Bilal Semih Bozdemir this book supported file pdf, txt, epub, kindle and other format this book has been release on with Psychology categories.
Physiological signals have emerged as a promising avenue for understanding human behavior and cognition, particularly in real-world settings (Ananthan et al., 2024). Recent advancements in wearable sensor technology have enabled continuous monitoring of various physiological markers, such as electrodermal activity and heart rate, providing insights into individuals' emotional and cognitive states. (Gibilisco et al., 2018) One of the key applications of these psychophysiological advancements lies in understanding student engagement and learning dynamics. Researchers have found that physiological signals can serve as effective indicators of academic stress, anxiety, and engagement, complementing traditional self-report and observational measures. (Jiménez-Mijangos et al., 2022) (Ananthan et al., 2024) By monitoring students' physiological responses across different courses, researchers have identified unique patterns that enhance our understanding of intra-individual variations in cognitive and emotional responses to various learning environments. (Ananthan et al., 2024) These applications extend beyond the classroom, with the potential to inform clinical and social neuroscience research. Clinicians and researchers have explored the use of feedback techniques, such as neurofeedback, to allow participants to self-regulate their physiological and mental states, leading to promising results in the treatment of various psychiatric disorders (Orndorff-Plunkett et al., 2017). Despite these advancements, there are still significant challenges in bringing physiological detection systems into real-world settings, such as the classroom. The use of non-invasive, wearable sensors is critical to minimize the intrinsic stress caused by instrumentation, ensuring that the physiological responses captured reflect the natural state of the individuals.
New Trends And Developments In Biometrics
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Author : Jucheng Yang
language : en
Publisher: BoD – Books on Demand
Release Date : 2012-11-28
New Trends And Developments In Biometrics written by Jucheng Yang and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-28 with Computers categories.
In recent years, biometrics has developed rapidly with its worldwide applications for daily life. New trends and novel developments have been proposed to acquire and process many different biometric traits. The ignored challenges in the past and potential problems need to be thought together and deeply integrated. The key objective of the book is to keep up with the new technologies on some recent theoretical development as well as new trends of applications in biometrics. The topics covered in this book reflect well both aspects of development. They include the new development in forensic speaker recognition, 3D and thermo face recognition, finger vein recognition, contact-less biometric system, hand geometry recognition, biometric performance evaluation, multi-biometric template protection, and novel subfields in the new challenge fields. The book consists of 13 chapters. It is divided into four sections, namely, theory and method, performance evaluation, security and template protection, and other applications. The book was reviewed by editors Dr. Jucheng Yang and Dr. Shanjuan Xie. We deeply appreciate the efforts of our guest editors: Dr. Norman Poh, Dr. Loris Nanni, Dr. Dongsun Park, Dr. Sook Yoon and Ms. Congcong Xiong, as well as a number of anonymous reviewers.
Boogarlists Directory Of Biometric Technologies
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Author :
language : en
Publisher: BoogarLists
Release Date :
Boogarlists Directory Of Biometric Technologies written by and has been published by BoogarLists this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Advances In Biometric Person Authentication
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Author : Stan Z. Li
language : en
Publisher: Springer
Release Date : 2004-11-29
Advances In Biometric Person Authentication written by Stan Z. Li and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-11-29 with Computers categories.
Following the previous four annual conferences, the 5th Chinese Conference on Biometrics Recognition (Sinobiometrics 2004) was held in Guangzhou, China in December 2004. The conference this year was aimed at promoting the international exchange of ideas and providing an opportunity for keeping abreast of the latest developments in biometric algorithms, systems, and applications. The 1st Biometrics Verification Competition (BVC) on face, iris, and fingerprint recognition was also conducted in conjunction with the conference. This book is composed of 74 papers presented at Sinobiometrics 2004, contributed by researchers and industrial practitioners from Korea, Japan, Singapore, Hong Kong, France, UK, US, as well as China. Of these, 60 papers were selected from 140 submissions and 14 were invited. The papers not only presented recent technical advances, but also addressed issues in biometric system design, standardization, and applications. Included among the invited were four feature papers on the ideas and algorithms of the best-performing biometric engines, which were either competition winners at the Face Authentication Test (FAT) 2004 or the Fingerprint Verification Competition (FVC) 2004, or they were the best-performing iris and palmprint recognition algorithms. The papers were complemented by five keynote lectures on biometrics, and face, fingerprint, and iris authentication and multimodal fusion by Arun Ross (West Virginia University) and Anil K. Jain (Michigan State University), Josef Kittler (University of Surrey), John Daugman (University of Cambridge), Raffaele Cappelli (University of Bologna), and Stan Z. Li (Chinese Academy of Sciences).