Introduction

Latest News

🚀 First version of “openbq”!

Releases

openbq v0.1.0 released!🎉

logo_openbq

Overview

openbq (Open Source Biometric Quality Framework) is an open source biometric quality assessment tool for generating and analyzing biometric samples’ quality against international standards as well as customized metrics. openbq functions by taking an input directory of biometric data and producing raw quality information and 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.

---
config:
  theme: neutral
  layout: elk
---
    graph LR
        subgraph title [ ]
            core[bqcore] --> face("`__Face__`")
            core --> finger("`__Fingerprint__`")
            core --> iris("`__Iris__`")
            core --> voice("`__Voice__`")
            finger --> nfiq([NFIQ2])
            iris --> biqt-iris([BIQT])
            face --> obqe([OBQE])
            face --> ofiq([OFIQ])
            face --> biqt-face([BIQT])
            voice --> nisqa([NISQA])
        end
            title --> cli([bqconnect CLI])
            title --> desktop([bqconnect Desktop])
        click finger "http://docs.openbq.io/modalities/fingerprint.html" _blank
        click face "http://docs.openbq.io/modalities/face.html" _blank
        click iris "http://docs.openbq.io/modalities/iris.html" _blank
        click voice "http://docs.openbq.io/modalities/voice.html" _blank
        click cli "https://github.com/Open-Source-Biometric-Quality-Framework/bqConnect-CLI" _blank
        click service "https://github.com/Open-Source-Biometric-Quality-Framework/bqCore-Service" _blank
        click gui "https://github.com/Open-Source-Biometric-Quality-Framework/bqConnect-Desktop" _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 obqe "https://github.com/Open-Source-Biometric-Quality-Framework" _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.
Voice

The voice 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

The Toolbox

CLI

openbq in the terminal. A CLI tool for easy biometric quality assessment.

Roadmap

Coming doon 🚀

Please contact us if you’d like more information.