Автор: Kumar Santosh, Singh Sanjay Kumar, Singh Rishav Название: Animal Biometrics: Techniques and Applications ISBN: 9811079552 ISBN-13(EAN): 9789811079559 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Kevin Daimi, Guillermo Francia III Название: Breakthroughs in Digital Biometrics and Forensics ISBN: 3031107055 ISBN-13(EAN): 9783031107054 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on a wide range of breakthroughs related to digital biometrics and forensics. The authors introduce the concepts, techniques, methods, approaches and trends needed by cybersecurity specialists and educators for keeping current their biometrics and forensics knowledge. Furthermore, the book provides a glimpse of future directions where biometrics and forensics techniques, policies, applications, and theories are headed. Topics include multimodal biometrics, soft biometrics, mobile biometrics, vehicle biometrics, vehicle forensics, integrity verification of digital content, people identification, biometric-based cybercrime investigation, among others. The book is a rich collection of carefully selected and reviewed manuscripts written by diverse digital biometrics and forensics experts in the listed fields and edited by prominent biometrics and forensics researchers and specialists.
Автор: Genovese, Angelo Piuri, Vincenzo Scotti, Fabio Название: Touchless palmprint recognition systems ISBN: 3319103644 ISBN-13(EAN): 9783319103648 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Touchless Palmprint Recognition Systems
Автор: Angelo Genovese; Vincenzo Piuri; Fabio Scotti Название: Touchless Palmprint Recognition Systems ISBN: 3319383981 ISBN-13(EAN): 9783319383989 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book examines the context, motivation and current status of biometric systems based on the palmprint, with a specific focus on touchless and less-constrained systems.
Автор: Davide Maltoni; Dario Maio; Anil K. Jain; Salil Pr Название: Handbook of Fingerprint Recognition ISBN: 1848822537 ISBN-13(EAN): 9781848822535 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Поставка под заказ. Описание: Provides coverage of the major concepts, topics, and security methods associated with fingerprint recognition. This work features chapters covering sensor technology, performance evaluation, standards, and securing fingerprint systems. It is suitable for biometric security professionals, researchers, developers and systems administrators.
Автор: Liu Feng, Zhao Qijun, Zhang David Название: Advanced Fingerprint Recognition: From 3D Shape to Ridge Detail ISBN: 9811541272 ISBN-13(EAN): 9789811541278 Издательство: Springer Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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).
Автор: Ajay Kumar Название: Contactless 3D Fingerprint Identification ISBN: 3030098079 ISBN-13(EAN): 9783030098070 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This important text/reference presents the first dedicated review of techniques for contactless 3D fingerprint identification, including novel and previously unpublished research. The text provides a systematic introduction to 3D fingerprint identification, covering the latest advancements in contactless 2D and 3D sensing technologies, and detailed discussions on each key aspect in the development of an effective 3D fingerprint identification system.Topics and features: introduces the key concepts and trends in the acquisition and identification of fingerprint images, and a range of 3D fingerprint imaging techniques; proposes a low-cost method for online 3D fingerprint image acquisition, and an efficient 3D fingerprint imaging approach using coloured photometric stereo; describes pre-processing operations on point cloud 3D fingerprint data, and explains the specialized operations for reconstructing 3D fingerprints from live finger scans; examines the representation of minutiae in 3D space, providing details on recovering these features from point cloud data, and on matching such 3D minutiae templates; reviews various 3D fingerprint matching methods, including binary surface code-based approaches and a tetrahedron-based matching approach; discusses the uniqueness of 3D fingerprints, evaluating the benefits of employing 3D fingerprint identification over conventional 2D fingerprint techniques.This unique work is a must-read for all researchers seeking to make further advances in this area, towards the exciting opportunities afforded by contactless 3D fingerprint identification for improving the hygiene, user convenience, and matching accuracy of fingerprint biometric technologies.
Автор: Liu Feng, Zhao Qijun, Zhang David Название: Advanced Fingerprint Recognition: From 3D Shape to Ridge Detail ISBN: 9811541302 ISBN-13(EAN): 9789811541308 Издательство: Springer Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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).
Автор: Maltoni Название: Handbook of Fingerprint Recognition ISBN: 3030836231 ISBN-13(EAN): 9783030836238 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Поставка под заказ. Описание: With their distinctiveness and stability over time, fingerprints continue to be the most widely used anatomical characteristic in systems that automatically recognize a person's identity. This fully updated third edition provides in-depth coverage of the state-of-the-art in fingerprint recognition readers, feature extraction, and matching algorithms and applications. Deep learning (resurgence beginning around 2012) has been a game changer for artificial intelligence and, in particular, computer vision and biometrics. Performance improvements (both recognition accuracy and speed) for most biometric modalities can be attributed to the use of deep neural networks along with availability of large training sets and powerful hardware. Fingerprint recognition has also been approached by deep learning, resulting in effective and efficient methods for automated recognition and for learning robust fixed-length representations. However, the tiny ridge details in fingerprints known as minutiae are still competitive with the powerful representations learned by huge neural networks trained on big data. Features & Benefits: * Reflects the progress made in automated techniques for fingerprint recognition over the past five decades * Reviews the evolution of sensing technology: from bulky optical devices to in-display readers in smartphones * Dedicates an entire new chapter to latent fingerprint recognition, which is nowadays feasible in “lights-out” mode * Introduces classical and learning-based techniques for local orientation extraction, enhancement, and minutiae detection * Provides an updated review of presentation-attack-detection techniques and their performance evaluation * Discusses the evolution of minutiae matching from rich local descriptors to Minutiae Cylinder Code * Presents the development of feature-based matching: from FingerCode to handcrafted textural features to deep features * Reviews fingerprint synthesis, including recent Generative Adversarial Networks The revised edition of this must-read reference, written by leading international researchers, covers all critical aspects of fingerprint security system design and technology. It is an essential resource for all security and biometrics professionals, researchers, practitioners, developers, and systems administrators, and can serve as an easy-to-read reference for an undergraduate or graduate course on biometrics. Davide Maltoni is full professor in the Department of Computer Science (DISI) at the University of Bologna, where he also co-directs the Biometrics Systems Laboratory (BioLab). Dario Maio is full professor in the DISI and a co-director of the BioLab. Anil K. Jain is university distinguished professor in the Department of Computer Science and Engineering at Michigan State University. Jianjiang Feng is associate professor in the Department of Automation at Tsinghua University.
Автор: Maltoni Название: Handbook of Fingerprint Recognition ISBN: 3030836266 ISBN-13(EAN): 9783030836269 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Поставка под заказ. Описание: With their distinctiveness and stability over time, fingerprints continue to be the most widely used anatomical characteristic in systems that automatically recognize a person's identity. This fully updated third edition provides in-depth coverage of the state-of-the-art in fingerprint recognition readers, feature extraction, and matching algorithms and applications. Deep learning (resurgence beginning around 2012) has been a game changer for artificial intelligence and, in particular, computer vision and biometrics. Performance improvements (both recognition accuracy and speed) for most biometric modalities can be attributed to the use of deep neural networks along with availability of large training sets and powerful hardware. Fingerprint recognition has also been approached by deep learning, resulting in effective and efficient methods for automated recognition and for learning robust fixed-length representations. However, the tiny ridge details in fingerprints known as minutiae are still competitive with the powerful representations learned by huge neural networks trained on big data. Features & Benefits: * Reflects the progress made in automated techniques for fingerprint recognition over the past five decades * Reviews the evolution of sensing technology: from bulky optical devices to in-display readers in smartphones * Dedicates an entire new chapter to latent fingerprint recognition, which is nowadays feasible in “lights-out” mode * Introduces classical and learning-based techniques for local orientation extraction, enhancement, and minutiae detection * Provides an updated review of presentation-attack-detection techniques and their performance evaluation * Discusses the evolution of minutiae matching from rich local descriptors to Minutiae Cylinder Code * Presents the development of feature-based matching: from FingerCode to handcrafted textural features to deep features * Reviews fingerprint synthesis, including recent Generative Adversarial Networks The revised edition of this must-read reference, written by leading international researchers, covers all critical aspects of fingerprint security system design and technology. It is an essential resource for all security and biometrics professionals, researchers, practitioners, developers, and systems administrators, and can serve as an easy-to-read reference for an undergraduate or graduate course on biometrics. Davide Maltoni is full professor in the Department of Computer Science (DISI) at the University of Bologna, where he also co-directs the Biometrics Systems Laboratory (BioLab). Dario Maio is full professor in the DISI and a co-director of the BioLab. Anil K. Jain is university distinguished professor in the Department of Computer Science and Engineering at Michigan State University. Jianjiang Feng is associate professor in the Department of Automation at Tsinghua University.
Автор: Ajay Kumar Название: Contactless 3D Fingerprint Identification ISBN: 3319676806 ISBN-13(EAN): 9783319676807 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This important text/reference presents the first dedicated review of techniques for contactless 3D fingerprint identification, including novel and previously unpublished research. The text provides a systematic introduction to 3D fingerprint identification, covering the latest advancements in contactless 2D and 3D sensing technologies, and detailed discussions on each key aspect in the development of an effective 3D fingerprint identification system.Topics and features: introduces the key concepts and trends in the acquisition and identification of fingerprint images, and a range of 3D fingerprint imaging techniques; proposes a low-cost method for online 3D fingerprint image acquisition, and an efficient 3D fingerprint imaging approach using coloured photometric stereo; describes pre-processing operations on point cloud 3D fingerprint data, and explains the specialized operations for reconstructing 3D fingerprints from live finger scans; examines the representation of minutiae in 3D space, providing details on recovering these features from point cloud data, and on matching such 3D minutiae templates; reviews various 3D fingerprint matching methods, including binary surface code-based approaches and a tetrahedron-based matching approach; discusses the uniqueness of 3D fingerprints, evaluating the benefits of employing 3D fingerprint identification over conventional 2D fingerprint techniques.This unique work is a must-read for all researchers seeking to make further advances in this area, towards the exciting opportunities afforded by contactless 3D fingerprint identification for improving the hygiene, user convenience, and matching accuracy of fingerprint biometric technologies.
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