Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.
Automated facial comparison in the RNI registration process
- Publication category
- High-Risk AI-system
- Impact assessment
- Field not filled in.
- Status
- In use
General information
Theme
- Public Order and Safety
- International
Begin date
Contact information
Link to publication website
Responsible use
Goal and impact
The algorithm was developed to compare the face of the person in front of the counter with the image in his identity document and to indicate with what certainty it can be stated that the person shown in the image of the scanned identity document is the same person (or not). This algorithm supports the RNI employee at the counter so that he or she can determine with some certainty whether the person at the counter is also the person whose identity document has been scanned.
If the application using the algorithm indicates that the person whose identity document has been scanned is not the person at the counter, the RNI employee will have to decide for himself whether this is justified or not. The RNI employee at the counter is ultimately the one with final responsibility. If he finds the rejection by the algorithm justified, the application for registration in the BRP will be rejected by the citizen. This rejection may include an indication of whether fraud is suspected.
Considerations
The deployment of this algorithm helps the RNI employee establish the identity of the citizen at the counter.
Human intervention
Yes, the RNI officer decides whether to use the face scan and what to do with the result of the face scan in the process
Risk management
A risk is a probability of the occurrence of a negative consequence for the rights and freedoms of data subjects as a result of the processing of personal data. However, because no storage is required in the situation described (because facial image is only registered in the system during the process of identity determination and visible to the employees of the RNI counter), the risk of leaking or manipulating the facial image is small.
The RvIG evaluates the performance.
Legal basis
Legal obligation to establish proper identity: BRP Act Art. 2.67 4th paragraph, BRP Decree Art.35 Admissibility of biometrics: UAVG Art. 29, in the present situation authentication is necessary.
Operations
Data
Face scan
Technical design
Deep learning. Advanced face recognition APIs: C++, Java, Microsoft .NET, BioAPI 2.0 Verification Engine (C API). Documented examples for key use cases and specific implementations. Tools for biometric evaluations, including generation of 'identification match' statements and 'similarity matrix' data.
When registering a citizen in the RNI, a scanning solution is used. This scanning solution consists of an ID scanner, an A4 scanner, a scan server, a small monitor and, since February 2021, also a face scanner. This scanning solution supports the RNI employee in the registration process and, since the use of the face scanner, also in establishing identity. The data from the scanned identity document is displayed on the small monitor and if there are no details, the scanned data passes from the scanning solution to the RNI application. The data used to establish identity is not passed to the RNI application, but the result is displayed on the small monitor. The data from the scanned identity document are used for registration in RNI after approval by the RNI employee. Of the face scan performed, it is only passed on to RNI in a log line that it was performed and what the result was. This result may be: 'The faces are the same' or 'The faces are not the same'.
External provider
Similar algorithm descriptions
- Algorithm that can help registrants avoid "look-alike fraud".Last change on 13th of January 2025, at 8:11 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
- This algorithm supports RNI staff 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 1st of November 2024, at 16:51 (CET) | Publication Standard 1.0
- Publication category
- Impactful algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
- The algorithm in the software recognises and anonymises personal data and other sensitive information in documents. Governments regularly publish information related to the drafting and implementation of their policies (e.g. based on the Woo). This tool is used to render sensitive data unrecognisable in the process.Last change on 9th of January 2025, at 9:23 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- DPIA
- Status
- In use
- Automated facial comparison for first registration in the Basic Registry of Persons (BRP), resettlement applications and naturalisation applications for persons over 18 years old. This algorithm helps the registrant prevent "look-alike fraud". Sourced from the Rijksdienst voor Identiteitsgegevens (RvIG).Last change on 20th of August 2024, at 7:18 (CET) | Publication Standard 1.0
- Publication category
- Impactful algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
- Automated document check and face comparator when registering in the Basic Registry of Persons (BRP) and applying for identity documents for persons over 18 years old. This Algorithm helps the registrant prevent "look-alike fraud". Sourced from the Rijksdienst voor Identiteitsgegevens (RvIG).Last change on 2nd of February 2024, at 7:56 (CET) | Publication Standard 1.0
- Publication category
- High-Risk AI-system
- Impact assessment
- Field not filled in.
- Status
- In use