/Compute_EER

This code computes False Acceptance Rate (FAR), False Rejection Rate (FRR) and Equal Error Rate (EER) given similarity scores of a biometric system and the actual label of the sample (genuine or imposter).

Primary LanguagePython

Overview

This repository computes False Acceptance Rate (FAR), False Rejection Rate (FRR) and Equal Error Rate (EER) given similarity scores of a biometric system and the actual label of the sample (genuine or imposter). It also plots some visualizations such as histogram of genuine (blue) and imposter (red) distributions with a given bin width, EER along with FAR and FRR, and ROC curve.

Installation

  1. Git clone this repo: git clone https://github.com/nathanlem1/Compute_EER.git
  2. Install dependencies by pip install -r requirements.txt to have the same environment configuration as the one we used.

Run

$ python compute_eer.py