Standard metrics for biometric system evaluation
Forked from tutorial/postperf/1
Algorithms have at least one input and one output. All algorithm endpoints are organized in groups. Groups are used by the platform to indicate which inputs and outputs are synchronized together. The first group is automatically synchronized with the channel defined by the block in which the algorithm is deployed.
| Endpoint Name | Data Format | Nature |
|---|---|---|
| scores | tutorial/probe_scores/1 | Input |
Analyzers may produce any number of results. Once experiments using this analyzer are done, you may display the results or filter experiments using criteria based on them.
| Name | Type |
|---|---|
| scores_distribution | plot/bar/1 |
| frr | float32 |
| far | float32 |
| roc | plot/isoroc/1 |
| eer | float32 |
| number_of_positives | int32 |
| threshold | float32 |
| number_of_negatives | int32 |
The code for this algorithm in Python
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An algorithm that implements standard metrics for biometric system evaluation.
Specifically, it returns:
This implementation relies on the 'measure' package from the Bob library.
This table shows the number of times this algorithm has been successfully run using the given environment. Note this does not provide sufficient information to evaluate if the algorithm will run when submitted to different conditions.