# biometrics/openbr

Open Source Biometrics, Face Recognition

Repository: https://github.com/biometrics/openbr
Canonical: https://ross.abutalabs.com/products/openbr
Language: C++
License: NOASSERTION
License Family: other
Last push: 2026-01-09T17:26:39+00:00

## Health v2 (maintenance only)
Score: 50/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 61, release rhythm 8, longevity 100
- inputs: {"age_days": 5004, "days_push": 236, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2903, forks 795 (observed 2026-08-28T04:07:29.002755+00:00)

## What it is
OpenBR is an open-source biometrics library and command-line tool focused on face recognition, written in C++ on top of Qt and OpenCV. It provides a common API and CLI for enrolling, comparing, and evaluating biometric algorithms.

## Use cases
- run face recognition on images from the command line
- evaluate biometric recognition algorithms
- enroll and compare face templates
- build face recognition into a C++ application
- benchmark face verification accuracy

## When to choose
- you need a free, open-source face recognition toolkit in C++
- you want a CLI for batch biometric enrollment and matching
- you need reproducible biometric algorithm evaluation

## When to avoid
- you need a maintained, actively developed face recognition stack
- you want a Python-first or deep-learning-native API
- you need production support or permissive licensing (license is non-standard)

## Facets
- artifact type: library
- maturity: maintenance
- function: computer-vision, image-processing, machine-learning
- domain: computer-vision, security, image-processing
- platform: cpp, windows, cross-platform
- tags: biometrics, face-recognition, openbr, c++, linux, macos

## Member repositories
- biometrics/openbr (main) score 50

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:29.002755+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:34:41.119517+00:00, confidence not recorded.
  - readme: https://github.com/biometrics/openbr (fetched 2026-08-28T04:07:29.002755+00:00, sha e84591e472cc)
- Data as of 2026-08-30T08:39:29.467469+00:00.