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Handbook of Biometric Anti-Spoofing : Presentation Attack Detection / / edited by Sébastien Marcel, Mark S. Nixon, Julian Fierrez, Nicholas Evans
| Handbook of Biometric Anti-Spoofing : Presentation Attack Detection / / edited by Sébastien Marcel, Mark S. Nixon, Julian Fierrez, Nicholas Evans |
| Edizione | [2nd ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (522 pages) |
| Disciplina | 005.8 |
| Collana | Advances in Computer Vision and Pattern Recognition |
| Soggetto topico |
Computer system failures
Biometrics (Biology) Mathematical statistics System Performance and Evaluation Biometrics Probability and Statistics in Computer Science |
| ISBN | 3-319-92627-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Introduction to Fingerprint Presentation Attack Detection -- A Study of Hand-Crafted and Naturally-Learned Features for Fingerprint Presentation Attack Detection -- Optical Coherence Tomography for Fingerprint Presentation Attack Detection -- Interoperability among Capture Devices for Fingerprint Presentation Attacks Detection -- Review of Fingerprint Presentation Attack Detection Competitions -- Introduction to Iris Presentation Attack Detection -- Application of Dynamic Features of the Pupil for Iris Presentation Attack Detection -- Review of Iris Presentation Attack Detection Competitions -- Introduction to Face Presentation Attack Detection -- Recent Advances in Face Presentation Attack Detection -- Recent Progress on Face Anti-Spoofing against 3D Mask Attack -- Challenges of Face Presentation Attack Detection in Real Scenarios -- Remote Blood Pulse Analysis for Face Presentation Attack Detection -- Review of Face Presentation Attack Detection Competitions -- Introduction to Voice Presentation Attack Detection and Recent Advances -- A Cross-Database Study of Voice Presentation Attack Detection -- Voice Presentation Attack Detection Using Convolutional Neural Networks -- An Introduction to Vein Presentation Attacks and Detection -- Presentation Attacks in Signature Biometrics: Types and Introduction to Attack Detection -- Evaluation Methodologies for Biometric Presentation Attack Detection -- A Legal Perspective on the Relevance of Biometric Presentation Attack Detection (PAD) for Payment Services Under PSDII and the GDPR -- Standards for Biometric Presentation Attack Detection. |
| Record Nr. | UNINA-9910337577303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Handbook of Biometric Anti-Spoofing : Trusted Biometrics under Spoofing Attacks / / edited by Sébastien Marcel, Mark S. Nixon, Stan Z. Li
| Handbook of Biometric Anti-Spoofing : Trusted Biometrics under Spoofing Attacks / / edited by Sébastien Marcel, Mark S. Nixon, Stan Z. Li |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | London : , : Springer London : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (290 p.) |
| Disciplina | 005.8 |
| Collana | Advances in Computer Vision and Pattern Recognition |
| Soggetto topico |
Computer system failures
Optical data processing Pattern recognition Mathematical statistics System Performance and Evaluation Image Processing and Computer Vision Pattern Recognition Probability and Statistics in Computer Science |
| ISBN | 1-4471-6524-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Forgeries of Fingerprints in Forensic Science -- Fingerprint Anti-Spoofing in Biometric Systems -- Face Anti-Spoofing: Visual Approach -- Face Anti-Spoofing: Multi-Spectral Approach -- Iris Anti-Spoofing -- Speaker Recognition Anti-Spoofing -- Gait Anti-Spoofing -- Multimodal Anti-Spoofing in Biometric Recognition Systems -- Evaluation Methodologies -- Related Standards -- Legal Aspects: Biometric Data, Evidence Rules and Trusted Identities -- Ethical Issues in Anti-Spoofing -- Evaluation Databases. |
| Record Nr. | UNINA-9910298977903321 |
| London : , : Springer London : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Handbook of vascular biometrics / / editors, Andreas Uhl [et al.]
| Handbook of vascular biometrics / / editors, Andreas Uhl [et al.] |
| Autore | Uhl Andreas |
| Edizione | [1st edition 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XVIII, 533 p. 197 illus., 149 illus. in color.) |
| Disciplina | 570.15195 |
| Collana | Advances in Computer Vision and Pattern Recognition |
| Soggetto topico | Biometric identification |
| Soggetto non controllato |
Computer science
Biometrics (Biology) Computer security User interfaces (Computer systems) |
| ISBN | 3-030-27731-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 -- 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. |
| Record Nr. | UNISA-996465351303316 |
Uhl Andreas
|
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Handbook of vascular biometrics / / editors, Andreas Uhl [et al.]
| Handbook of vascular biometrics / / editors, Andreas Uhl [et al.] |
| Autore | Uhl Andreas |
| Edizione | [1st edition 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XVIII, 533 p. 197 illus., 149 illus. in color.) |
| Disciplina |
570.15195
006.2483 |
| Collana | Advances in Computer Vision and Pattern Recognition |
| Soggetto topico | Biometric identification |
| Soggetto non controllato |
Computer science
Biometrics (Biology) Computer security User interfaces (Computer systems) |
| ISBN | 3-030-27731-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 -- 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. |
| Record Nr. | UNINA-9910366659703321 |
|
Uhl Andreas
|
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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