Deployment of automated face comparison

Municipality of Gennep

This algorithm supports BRP employees in preventing "look-alike fraud" by comparing the face of the person at the counter with the image in the scanned identity document.

Last change on 3rd of December 2024, at 7:30 (CET) | Publication Standard 1.0

• Publication category: Impactful algorithms
• Impact assessment: Field not filled in.
• Status: In use

General information

Theme

Field not filled in.

Begin date

2013-07

Contact information

[e-mail]

Responsible use

Goal and impact

The purpose of this algorithm is to verify the identity of persons registering in the BRP. It compares the face of the person at the counter with the image in the scanned identity document and indicates with what certainty it is the same person. This supports the BRP employee in establishing identity and helps prevent "look-alike fraud". The "4-eye principle" is used here.

The impact is that it increases the reliability of the BRP registration process and supports the BRP employee in making identity determination decisions.

Considerations

The deployment of this algorithm helps the BRP employee establish the identity of the citizen at the counter. It increases the reliability of the process and reduces the risk of identity fraud. At the same time, privacy implications and the role of human decision-making in the process have been carefully considered.

Human intervention

There is always human intervention. The BRP employee decides whether the facial scan is used and what is done with the result. The employee is ultimately responsible for the decision on identity determination and possible rejection of registration

Risk management

• The facial image is recorded in the system only during the identity determination process and is visible only to BRP employees. This reduces the risk of data leakage or manipulation.
• System performance is regularly evaluated to ensure accuracy.
• Strict access controls and security measures have been implemented to prevent unauthorised access to the system.
• Employees are trained on how to use the system and recognise potential errors or limitations.

Legal basis

• BRP Act art. 2.67 4th paragraph: Legal obligation to establish proper identity
• BRP Decree art.35
• UAVG art. 29: Admissibility of biometrics for authentication

Operations

Data

The system uses:

• Face scan of the person at the counter
• Scanned image from the identity document

Technical design

The system uses deep learning and advanced facial recognition APIs. Technical components include:

• ID scanner
• A4 scanner
• Scan server
• Small monitor
• Face scanner

The process is as follows:

1. The identity document is scanned.

2. A face scan is made of the person at the counter.

3. The algorithm compares the facial scan with the image from the identity document.

4. The result of the comparison is displayed on the monitor.

5. The BRP employee evaluates the result and makes a decision.

Only the result of the scan ('The faces are the same' or 'The faces are not the same') is logged in the BRP system.

External provider

ORIBI-ID solutions ( Link to external pagehttps://oribi.nl/ )