Figure 2.

Schematic illustration of fingerprint analysis using BSFA. (A) Training phase: data from each subject in the train set is modeled using BSFA (Algorithm 1). $y_{\text{train}}^{\{i\}}$ shows data from the i-th subject in the train set and $M_{\text{train}}^{\{i\}}$ shows the corresponding model. (B) Test phase: data from a given subject s from the test set, $y_{\text{test}}^{\{s\}}$, are compared against all the trained models (Algorithm 2). The predicted identity is the one with the highest predictive likelihood.