Score Fusion in Biometric Recognition and Presentation Attack Detection
This package is part of the signal-processing and machine learning toolbox Bob. It runs score fusion in biometric and presentation attack detection experiments using various algorithms. It provides several algorithms and scripts to be used for running and reporting fusion experiments.
Installation
Complete Bob's installation instructions. Then, to install this package, run:
conda install bob.fusion.base
Contact
For questions or reporting issues to this software package, contact our development mailing list.
Release files for bob.fusion.base 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bob_fusion_base-0.1.6.tar.gz | 37.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bob.fusion.base-0.1.6-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 73.3 kB
Release files / bob_fusion_base-0.1.6.tar.gz
| Download URL | bob_fusion_base-0.1.6.tar.gz |
|---|---|
| Size | 37.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.10.14
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Release files / bob.fusion.base-0.1.6-py2.py3-none-any.whl
| Download URL | bob.fusion.base-0.1.6-py2.py3-none-any.whl |
|---|---|
| Size | 35.6 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.14
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