# Face match (Face Verification)

## Overview

Face Match requires users to take a selfie with the frontal camera of their phones or computers. Biometrid will then match the face from the selfie with the face from an identity document. This way it is established that the submitted document has not been stolen and belongs to the person who submitted it. &#x20;

![](https://4182902805-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FLglFt6ah0HCY2ggCr49j%2Fuploads%2FkZmLUxA802gwAmAYHyQf%2FGroup%202053%20\(2\).png?alt=media\&token=dfee79fe-642f-415e-bcd7-ef3a6cba9eef)

## Features

#### Face Matching&#x20;

Our 1:1 face matching algorithm is comparing a face from a selfie against the face from the image in an identity card.

#### Face Anti-Spoofing

When paired with Liveness Detection, the technology can tell the difference between a face that is real or fake (printed images, plastic dols, silicone masks, digital images or videos, etc).

#### Face Quality Analysis

The algorithm for facial biometrics codification is compliant with ISO/ ICAO 19794 5, which means the data is respecting the security standards, it is agnostic and anonymized. In simple words, the face's biometrics are transformed into an equation. If the equation is ever stolen, it is useless as it doesn’t reveal anything about the real person and it cannot be used to access any systems.

#### Top-tier algorithms

99.9999% accuracy rate at 0.5% false rejection and this improves every day.

#### Adaptive to users

The algorithm accounts for physiological changes, such as haircuts, beards, or glasses. &#x20;
