Handbook of Fingerprint Recognition, Davide Maltoni; Dario Maio; Anil K. Jain; Salil Pr
Автор: Ratha Nalini, Bolle Ruud Название: Automatic Fingerprint Recognition Systems ISBN: 0387955933 ISBN-13(EAN): 9780387955933 Издательство: Springer Рейтинг: Цена: 12704 р. Наличие на складе: Поставка под заказ.
Описание: Serves as a survey of automatic fingerprint-recognition concepts, technology, and systems. This book is useful for biometrics and pattern recognition researchers, professionals, and systems developers.
Автор: Bhanu Bir, Tan Xuejun Название: Computational Algorithms for Fingerprint Recognition ISBN: 1402076517 ISBN-13(EAN): 9781402076510 Издательство: Springer Рейтинг: Цена: 17319 р. Наличие на складе: Поставка под заказ.
Описание: Biometrics such as fingerprint, face, gait, iris, voice and signature, recognizes one's identity using his/her physiological or behavioral characteristics. Among these biometric signs, fingerprint has been researched the longest period of time, and shows the most promising future in real-world applications. However, because of the complex distortions among the different impressions of the same finger, fingerprint recognition is still a challenging problem. Computational Algorithms for Fingerprint Recognition presents an entire range of novel computational algorithms for fingerprint recognition. These include feature extraction, indexing, matching, classification, and performance prediction/validation methods, which have been compared with state-of-art algorithms and found to be effective and efficient on real-world data. All the algorithms have been evaluated on NIST-4 database from National Institute of Standards and Technology (NIST). Specific algorithms addressed include:-Learned template based minutiae extraction algorithm, -Triplets of minutiae based fingerprint indexing algorithm, -Genetic algorithm based fingerprint matching algorithm, -Genetic programming based feature learning algorithm for fingerprint classification, -Comparison of classification and indexing based approaches for identification, -Fundamental fingerprint matching performance prediction analysis and its validation.Computational Algorithms for Fingerprint Recognition is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.
Автор: Wang Название: Digital Fingerprinting ISBN: 1493965999 ISBN-13(EAN): 9781493965991 Издательство: Springer Рейтинг: Цена: 8892 р. Наличие на складе: Поставка под заказ.
Описание:
This is the first book on digital fingerprinting that comprehensively covers the major areas of study in a range of information security areas including authentication schemes, intrusion detection, forensic analysis and more. Available techniques for assurance are limited and authentication schemes are potentially vulnerable to the theft of digital tokens or secrets. Intrusion detection can be thwarted by spoofing or impersonating devices, and forensic analysis is incapable of demonstrably tying a particular device to specific digital evidence. This book presents an innovative and effective approach that addresses these concerns.
This book introduces the origins and scientific underpinnings of digital fingerprinting. It also proposes a unified framework for digital fingerprinting, evaluates methodologies and includes examples and case studies. The last chapter of this book covers the future directions of digital fingerprinting.
This book is designed for practitioners and researchers working in the security field and military. Advanced-level students focused on computer science and engineering will find this book beneficial as secondary textbook or reference.
Автор: Bowyer Название: Handbook of Iris Recognition ISBN: 1447167821 ISBN-13(EAN): 9781447167822 Издательство: Springer Рейтинг: Цена: 19056 р. Наличие на складе: Поставка под заказ.
Описание: The definitive work on iris recognition technology, this comprehensive handbook presents a broad overview of the state of the art in this exciting and rapidly evolving field. Revised and updated from the highly-successful original, this second edition has also been considerably expanded in scope and content, featuring four completely new chapters. Features: provides authoritative insights from an international selection of preeminent researchers from government, industry, and academia; reviews issues covering the full spectrum of the iris recognition process, from acquisition to encoding; presents surveys of topical areas, and discusses the frontiers of iris research, including cross-wavelength matching, iris template aging, and anti-spoofing; describes open source software for the iris recognition pipeline and datasets of iris images; includes new content on liveness detection, correcting off-angle iris images, subjects with eye conditions, and implementing software systems for iris recognition.
Описание: Both pattern recognition and computer vision have experienced rapid progress in the last twenty-five years. This book provides the latest advances on pattern recognition and computer vision along with their many applications. It features articles written by renowned leaders in the field while topics are presented in readable form to a wide range of readers. The book is divided into five parts: basic methods in pattern recognition, basic methods in computer vision and image processing, recognition applications, life science and human identification, and systems and technology. There are eight new chapters on the latest developments in life sciences using pattern recognition as well as two new chapters on pattern recognition in remote sensing.
Автор: Li Stan Z., Jain Anil K. Название: Handbook of Face Recognition ISBN: 038740595X ISBN-13(EAN): 9780387405957 Издательство: Springer Рейтинг: Цена: 8657 р. Наличие на складе: Поставка под заказ.
Описание: Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still offers a great challenge to computer-vision and pattern recognition researchers. This handbook is a comprehensive account of face recognition research and technology, written by a group of leading international researchers. Twelve chapters cover all the sub-areas and major components for designing operational face recognition systems. Background, modern techniques, recent results, and challenges and future directions are considered. The book is aimed at practitioners and professionals planning to work in face recognition or wanting to become familiar with the state-of- the-art technology. A comprehensive handbook, by leading research authorities, on the concepts, methods, and algorithms for automated face detection and recognition. Essential reference resource for researchers and professionals in biometric security, computer vision, and video image analysis.
Описание: Many computer scientists, engineers, applied mathematicians, and physicists use geometry theory and geometric computing methods in the design of perception-action systems, intelligent autonomous systems, and man-machine interfaces. This handbook brings together the most recent advances in the application of geometric computing for building such systems, with contributions from leading experts in the important fields of neuroscience, neural networks, image processing, pattern recognition, computer vision, uncertainty in geometric computations, conformal computational geometry, computer graphics and visualization, medical imagery, geometry and robotics, and reaching and motion planning. For the first time, the various methods are presented in a comprehensive, unified manner.This handbook is highly recommended for postgraduate students and researchers working on applications such as automated learning; geometric and fuzzy reasoning; human-like artificial vision; tele-operation; space maneuvering; haptics; rescue robots; man-machine interfaces; tele-immersion; computer- and robotics-aided neurosurgery or orthopedics; the assembly and design of humanoids; and systems for metalevel reasoning.
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