Machine Learning Techniques for Gait Biometric Recognition, James Eric Mason; Issa Traor?; Isaac Woungang
Автор: Rajesh M. Bodade; Sanjay N. Talbar Название: Iris Analysis for Biometric Recognition Systems ISBN: 8132218523 ISBN-13(EAN): 9788132218524 Издательство: Springer Рейтинг: Цена: 8489.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In addition to the above, the book provides detailed analysis of iris images and two methods of iris segmentation. It also discusses simplified study of some subspace-based methods and distance measures for iris recognition backed by empirical studies and statistical success verifications.
Автор: You Название: Biometric Recognition ISBN: 3319466534 ISBN-13(EAN): 9783319466538 Издательство: Springer Рейтинг: Цена: 12578.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 11th Chinese Conference on Biometric Recognition, CCBR 2016, held in Chengdu, China, in October 2016. The 84 revised full papers presented in this book were carefully reviewed and selected from 138 submissions. Fingerprint, Palm-print and Vascular Biometrics;
Автор: Chengjun Liu; Vijay Kumar Mago Название: Cross Disciplinary Biometric Systems ISBN: 3642428401 ISBN-13(EAN): 9783642428401 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book spans current progress in biometric systems including face recognition, fingerprint recognition, iris recognition and image search systems, connecting them to each other and to progress in color and pattern analysis, mathematics and computer science.
Автор: Michael E. Schuckers Название: Computational Methods in Biometric Authentication ISBN: 1849962014 ISBN-13(EAN): 9781849962018 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This unique reference offers a statistical methodology for practitioners and testers of biometric authentication systems, supplying rigorous statistical methods for evaluation which can be extended and generalized for a wide range of applications and tests.
Автор: Wayman Название: Biometric Systems ISBN: 1852335963 ISBN-13(EAN): 9781852335960 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A reference book for anyone involved in the design, management or implementation of biometric systems. This book provides the information needed to a build reliable system. It focuses on the four widely used types of biometric technology - speech, fingerprint, iris and face recognition. It covers the implementation of test procedures.
Автор: Julian Fierrez; Javier Ortega-Garcia; Anna Esposit Название: Biometric ID Management and Multimodal Communication ISBN: 3642043909 ISBN-13(EAN): 9783642043901 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the research papers presented at the Joint 2101 & 2102 International Conference on Biometric ID Management and Multimodal Communication. COST 2101 Action is focused on `Biometrics for Identity Documents and Smart Cards (BIDS)`, while COST 2102 Action is entitled `Cross-Modal Analysis of Verbal and Non-verbal Communication`.
Автор: Michael E. Schuckers Название: Computational Methods in Biometric Authentication ISBN: 1447125665 ISBN-13(EAN): 9781447125662 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This unique reference offers a statistical methodology for practitioners and testers of biometric authentication systems, supplying rigorous statistical methods for evaluation which can be extended and generalized for a wide range of applications and tests.
Автор: Conti Название: Mobile Networks for Biometric Data Analysis ISBN: 3319396986 ISBN-13(EAN): 9783319396989 Издательство: Springer Рейтинг: Цена: 32652.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book showcases new and innovative approaches to biometric data capture and analysis, focusing especially on those that are characterized by non-intrusiveness, reliable prediction algorithms, and high user acceptance. It comprises the peer-reviewed papers from the international workshop on the subject that was held in Ancona, Italy, in October 2014 and featured sessions on ICT for health care, biometric data in automotive and home applications, embedded systems for biometric data analysis, biometric data analysis: EMG and ECG, and ICT for gait analysis. The background to the book is the challenge posed by the prevention and treatment of common, widespread chronic diseases in modern, aging societies. Capture of biometric data is a cornerstone for any analysis and treatment strategy. The latest advances in sensor technology allow accurate data measurement in a non-intrusive way, and in many cases it is necessary to provide online monitoring and real-time data capturing to support a patient’s prevention plans or to allow medical professionals to access the patient’s current status. This book will be of value to all with an interest in this expanding field.
Автор: David Zhang; Yong Xu; Wangmeng Zuo Название: Discriminative Learning in Biometrics ISBN: 9811020558 ISBN-13(EAN): 9789811020551 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition.
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