Info
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
|
||
| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
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 |
| ISBN | 3-030-27731-3 |
| Classificazione | COM016000COM053000COM070000 |
| 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
|
||
| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||