A simple toolchain that performs anti-spoofing on the LivDet2013 database

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This toolchain will first train an LDA projection using all the training data available. Because this is a binary classification problem, 1 LDA component will be left-over after this step.

Once the LDA vector has been estimated, each sample on the training set is projected through this vector in order to compress the input data into a single score, which is then used for classification.

Updated Name Databases/Protocols Analyzers
anjos/anjos/livdet-lda/1/livdet-2013-biometrika-test livdet2013/1@Biometrika anjos/livdet_analysis/1
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