libri scuola books Fumetti ebook dvd top ten sconti 0 Carrello


Torna Indietro

uhl andreas (curatore); busch christoph (curatore); marcel sébastien (curatore); veldhuis raymond (curatore) - handbook of vascular biometrics

Handbook of Vascular Biometrics

; ; ;




Disponibilità: Normalmente disponibile in 15 giorni


PREZZO
54,98 €
NICEPRICE
52,23 €
SCONTO
5%



Questo prodotto usufruisce delle SPEDIZIONI GRATIS
selezionando l'opzione Corriere Veloce in fase di ordine.


Pagabile anche con Carta della cultura giovani e del merito, 18App Bonus Cultura e Carta del Docente


Facebook Twitter Aggiungi commento


Spese Gratis

Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 11/2019
Edizione: 1st ed. 2020





Trama

This open access handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open datasets/open source software, individual chapters focus on specific aspects of one of the biometric modalities, including questions of usability, security, and privacy. The book features contributions from both academia and major industrial manufacturers.





Sommario

Part I: Introduction - 1. State of the Art in Vascular Biometrics.- 2. A High Quality Finger Vein Dataset Collected using a Custom Designed Capture Device.- 3. Open Vein - An Open Source Modular Multi-Purpose Finger-vein Scanner Design.- 4. An Available Open Source Vein Recognition Framework. Part II: Hand and Finger Vein Biometrcis - 5. Use Case of Palm Vein Authentication.- 6. Evolution of Finger Vein Biometric Devices in Terms of Usability. 7. Towards Understanding Acquisition Conditions Influencing Finger-Vein Recognition.- 8. Improved CNN-Segmentation based Finger-Vein
Recognition Using Automatically Generated and Fused Training Labels.- 9. Efficient Identification in Large-Scale Vein Recognition Systems using Spectral Minutiae Representations.- 10. Different Views on the Finger - Score Level Fusion in Multi-Perspective vein Recognition. Part III: Sclera and Retina Bioemtrics - 11. Retinal Vascular Characteristics. 12. Vascular Biometric Graph Comparison: Theory and performance.- 13. Deep Sclera Segmentation and Recognition. Part IV: Security and Privacy in Vascular Biometrics - 14. Presentation Attack Detection for Finger Recognition.- 15. Fingervein Templates.- 16. Cancellable Biometrics for Finger Vein Recognition - Application in the Feature Domain.- 17. Towards Measuring the Amount of Discriminatory Information in Fingervein Biometric Characteristics Using a Relative Entropy Estimator.





Autore

Dr. Andreas Uhl is a Full Professor for Computer Science at the Department of Computer Science at the University of Salzburg, Austria and leads the Multimedia Signal Processing and Security Lab. His other publications include the Springer title Iris Biometrics: From Segmentation to Template Security and and Image and Video Encryption: From Digital Rights Management to Secured Personal Communication

Dr. Christoph Busch is a member of the Department of Information Security and Communication Technology (IIK) at the Norwegian University of Science and Technology (NTNU), Norway, and of the Computer science faculty at Hochschule Darmstadt (HDA), Germany. He also lectures in Biometric Systems at the Technical University of Denmark (DTU).

Dr Sébastien Marcel is a Senior Researcher and Head of the Biometrics Security and Privacy group at the Idiap Research Institute, Martigny, Switzerland. His other publications include the Springer title Handbook of Biometric Anti-Spoofing.

Dr. Raymond Veldhuis is a Full Professor of Biometric Pattern Recognition in the Data Management and Biometrics  group at the University of Twente, Enschede, The Netherlands.











Altre Informazioni

ISBN:

9783030277307

Condizione: Nuovo
Collana: Advances in Computer Vision and Pattern Recognition
Dimensioni: 235 x 155 mm Ø 986 gr
Formato: Copertina rigida
Illustration Notes:XVIII, 533 p. 197 illus., 149 illus. in color.
Pagine Arabe: 533
Pagine Romane: xviii


Dicono di noi