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This kivy app is designed to fuse scores together to improve performance. Evaluation is focused on biometric scores produced by various matchers - however it may be applied to any set of scores.

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melissadale/ScoreFusionApp

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Status: 1.0 release

The first version of this application is released. For a full description of this app, how to use it and how to adapt it, consult the user's manual (https://github.com/melissadale/ScoreFusionApp/blob/master/Score_Fusion_App_Documentation.pdf) or one of the wikis listed in the Documentation section below.

DOWNLOAD

There are various ways to acquire the Score Fusion App. Exe executables are given in the Release directory, if the Exe does not execute, we recommend dowloading from source. A sh script is provided in the Utilities directory that describes the necessary steps.

APPLICATION OVERVIEW

Data and Data Grooming

The first tab allows the user to upload the score files, specify the training testing split, normalization techniques, and how to handle missing data:

Density Estimates

The second tab provides information about the scores in the dataset, including the number of genuine/imposter scores, detected modalities, and the samples sizes in the train, test, and entire score dataset. Additionally, it provides a PDF and histograms of the genuine and imposter scores within each modality:

Fusion

The third tab allows the user to select which fusion rules to apply, specify if verification and/or identification tasks should be anayized, and give a name to the experiment:

Results

The fourth tab displays the results of the fusion experiments to the user:

DOCUMENTATION

  1. Input File Formats This describes the formats and files allowed by the application.
  2. Errors, debugging, and feature requests

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This kivy app is designed to fuse scores together to improve performance. Evaluation is focused on biometric scores produced by various matchers - however it may be applied to any set of scores.

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