Introduction

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Overview

BQAT (Biometric Quality Assessment Tool) is a open-source biometric quality assessment tool for generating and analysing biometric samples’ quality against international standards as well as customised metrics. BQAT functions by taking an input directory of biometric data and producing both the raw quality information as well as an analysis report.

The quality of biometric samples is a key aspect of the performance and efficacy of a biometric system. Whilst there are a variety of tools suitable for each modality, this project is aimed to provide an open-source framework to support all common modalities and allow for expansion as new methods are developed.

    graph LR
        subgraph title [ ]
            core[BQAT-Core] --> face("`__Face__`")
            core --> finger("`__Fingerprint__`")
            core --> iris("`__Iris__`")
            core --> speech("`__Speech__`")
            finger --> nfiq([NFIQ2])
            iris --> biqt-iris([BIQT])
            face --> bqat([Biometix])
            face --> ofiq([OFIQ])
            face --> biqt-face([BIQT])
            speech --> nisqa([NISQA])
        end
            title --> cli(BQAT-CLI)
            title --> api(BQAT-API)
            title --> gui(BQAT-GUI)
            title --> stateless(BQAT-Stateless)
        click finger "https://biometix.github.io/modality/fingerprint.html" _blank
        click face "https://biometix.github.io/modality/face.html" _blank
        click iris "https://biometix.github.io/modality/iris.html" _blank
        click speech "https://biometix.github.io/modality/speech.html" _blank
        click cli "https://github.com/Biometix/bqat-cli" _blank
        click api "https://github.com/Biometix/bqat-api" _blank
        click gui "https://github.com/Biometix/bqat-gui" _blank
        click stateless "https://github.com/Biometix/bqat-stateless" _blank
        click nfiq "https://github.com/usnistgov/NFIQ2" _blank
        click biqt-face "https://github.com/mitre/biqt-face" _blank
        click biqt-iris "https://github.com/mitre/biqt-iris" _blank
        click bqat "https://github.com/Biometix" _blank
        click ofiq "https://www.bsi.bund.de/EN/Themen/Unternehmen-und-Organisationen/Informationen-und-Empfehlungen/Freie-Software/OFIQ/OFIQ_node.html" _blank
        click nisqa "https://github.com/gabrielmittag/NISQA" _blank

Modalities

Fingerprint

The engine for the analysis of fingerprints is based on NIST/NFIQ2 quality features. The quality score links the image quality of optical and ink 500 PPI fingerprints to operational recognition performance.
Face

The face image assessment module provides metrics including head pose, smile detection, inter-eye distance, closed eyes, etc.
Iris

The iris sample assessment module provides various quality attributes, features, and ISO metrics.
Speech

The speech assessment module provides various quality metrics, including naturalness, colouration, noisiness, etc.

Key features of the project

Biometrics quality assessment platform for different modalities and processing engines
A variety of different methods of access, including via CLI, web page and/or web API
Simple installation via Docker
Quality report
Built by an experienced biometric consulting team
An active open-source community

Supporting libraries

Variation of the Toolbox

BQAT is available in multiple form factors:

CLI

BQAT in the terminal. A CLI tool for biometrics.
API

BQAT via RESTful API. A self-contained server solution.
Stateless

Stateless version of BQAT API. No data will be stored on the server, similar to a serverless function.
GUI

Simple Web GUI for BQAT API. An easy to use user interface to the services.

Let us know if you have any question on GitHub Discussions!

Roadmap

More to come! 🚀

Please contact us at info@biometix.com if you’d like more information.