This algorithm is a legacy one. The API has changed since its implementation. New versions and forks will need to be updated.
This algorithm is an analyzer. It can only be used on analysis blocks.

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.

Group: test

Endpoint Name Data Format Nature
scores_test system/array_1d_floats/1 Input
label_test system/text/1 Input

Group: dev

Endpoint Name Data Format Nature
scores_dev system/array_1d_floats/1 Input
label_dev system/text/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
test_hter float32
dev_eer_threshold float32
dev_far float32
test_frr float32
dev_frr float32
test_far float32
dev_eer float32
dev_numNegatives int32
test_scoreDistribution plot/bar/1
test_numNegatives int32
dev_scoreDistribution plot/bar/1
dev_numPositives int32
test_roc plot/isoroc/1
test_numPositives int32
dev_roc plot/isoroc/1

The code for this algorithm in Python
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An algorithm that implements standard metrics for antispoofing evaluation.

Specifically, it returns:

  • eer: the equal error rate (EER) on the development set.
  • hter: the half total error rate (HTER) on the test set
  • far_dev: the false acceptance rate (FAR) on the development set
  • frr_dev: the false rejection rate (FRR) on the development set
  • far_test: the false acceptance rate (FAR) on the test set
  • frr_test: the false rejection rate (FRR) on the test set
  • number_of_positives_dev: the number of positive trials on the development set
  • number_of_negatives_dev: the number of negative trials on the development set
  • number_of_positives_test: the number of positive trials on the test set
  • number_of_negatives_test: the number of negative trials on the test set
  • threshold: the threshold at the equal error rate on the development set
  • roc_dev: the receiver operating characteristic (ROC) curve on the development set
  • roc_test: the receiver operating characteristic (ROC) curve on the test set

This implementation relies on the 'measure' package from the Bob library. See http://www.idiap.ch/software/bob/docs/releases/last/sphinx/html/measure/ for more details.

Experiments

Updated Name Databases/Protocols Analyzers
smarcel/ivana7c/simple-antispoofing-updated/1/replay2-antispoofing-lbp-histograms-fix replay/3@grandtest Kanma/iqm_spoof_eer_analyzer/1

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.

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