Biometric Recognition, Jinfeng Yang; Jucheng Yang; Zhenan Sun; Shiguang S

Автор: Wei-Shi Zheng; Zhenan Sun; Yunhong Wang; Xilin Che
Название: Biometric Recognition
ISBN: 3642351352 ISBN-13(EAN): 9783642351358
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed proceedings of the 7th Chinese Conference on Biometric Recognition, CCBR 2012, held in Guangzhou, China, in December 2012.

Автор: Zhenan Sun; Gongping Yang; Jie Zhou; Yunhong Wang;
Название: Biometric Recognition
ISBN: 3319029606 ISBN-13(EAN): 9783319029603
Издательство: Springer
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Цена: 46570.00 T
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Описание: The papers address the problems in face, fingerprint, palm print, vein biometrics, iris and ocular biometrics, behavioral biometrics and other related topics, and contribute new ideas to research and development of reliable and practical solutions for biometric authentication.

Автор: Chengjun Liu; Vijay Kumar Mago
Название: Cross Disciplinary Biometric Systems
ISBN: 3642428401 ISBN-13(EAN): 9783642428401
Издательство: Springer
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Цена: 121890.00 T
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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
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Цена: 153720.00 T
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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
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Цена: 217680.00 T
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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: Ajita Rattani; Fabio Roli; Eric Granger
Название: Adaptive Biometric Systems
ISBN: 331937222X ISBN-13(EAN): 9783319372228
Издательство: Springer
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Цена: 65210.00 T
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Описание: This interdisciplinary volume presents a detailed overview of the latest advances and challenges remaining in the field of adaptive biometric systems. reviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) data;

Автор: You
Название: Biometric Recognition
ISBN: 3319466534 ISBN-13(EAN): 9783319466538
Издательство: Springer
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Цена: 83850.00 T
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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: Jie Zhou; Yunhong Wang; Zhenan Sun; Yong Xu; Linli
Название: Biometric Recognition
ISBN: 3319699229 ISBN-13(EAN): 9783319699226
Издательство: Springer
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Цена: 93160.00 T
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Описание: Recognition, CCBR 2017, held in Shenzhen, China, in October 2017. The 15 full papers and 65 poster papers presented in this book were carefully reviewed and selected from 138 submissions. The papers are organized in topical sections on face; fingerprint, palm-print and vascular biometrics; feature extraction and classification theory;

Автор: Ilaiah Kavati; Munaga V.N.K. Prasad; Chakravarthy
Название: Efficient Biometric Indexing and Retrieval Techniques for Large-Scale Systems
ISBN: 3319576593 ISBN-13(EAN): 9783319576596
Издательство: Springer
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Цена: 51230.00 T
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Описание: This work presents a review of different indexing techniques designed to enhance the speed and efficiency of searches over large biometric databases.

Автор: Els J. Kindt
Название: Privacy and Data Protection Issues of Biometric Applications
ISBN: 9402406476 ISBN-13(EAN): 9789402406474
Издательство: Springer
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Цена: 222670.00 T
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Описание: This book discusses critical privacy and data protection aspects of biometric systems from a legal perspective, offering a systematic analysis of the many issues raised by these systems, along with recommendations for a transnational regulatory framework.

Автор: Rajesh M. Bodade; Sanjay N. Talbar
Название: Iris Analysis for Biometric Recognition Systems
ISBN: 8132218523 ISBN-13(EAN): 9788132218524
Издательство: Springer
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Цена: 56590.00 T
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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: James Eric Mason; Issa Traor?; Isaac Woungang
Название: Machine Learning Techniques for Gait Biometric Recognition
ISBN: 331929086X ISBN-13(EAN): 9783319290867
Издательство: Springer
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Цена: 93160.00 T
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Описание: Introduction.- Background.- Experimental Design and Dataset.- Feature Extraction.-Normalization.- Classification.- Measured Performance.- Experimental Analysis.- Conclusion.