Handbook of vascular biometrics / / editors, Andreas Uhl [et al.]
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 intro...
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| Superior document: | Advances in Computer Vision and Pattern Recognition, |
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| HerausgeberIn: | |
| Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Springer,, 2020 |
| Year of Publication: | 2020 |
| Edition: | 1st edition 2020. |
| Language: | English |
| Series: | Advances in Computer Vision and Pattern Recognition,
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| Physical Description: | 1 online resource (XVIII, 533 p. 197 illus., 149 illus. in color.) |
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Table of Contents:
- 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.