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 document verification and facial recognition.

Automated document verification and facial recognition when registering with the Basic Register of Persons (BRP) and applying for identity documents for individuals over the age of 18. This algorithm helps the registrar to prevent ‘look-alike fraud’. Source: the National Agency for Identity Data (RvIG).
Last change on 23rd of June 2026, at 12:30 (CET) | Publication Standard 1.0
Publication category
High-Risk AI-system
Impact assessment
Field not filled in.
Status
In use

General information

Theme

Organisation and business operations

Begin date

2021-07

Contact information

https://www.s-hertogenbosch.nl/contact/

Responsible use

Goal and impact

The automated document check and facial recognition system serve three purposes, namely: 1. Verifying the identity of the applicant for an identity document in order to prevent identity fraud; 2. To verify the authenticity of the source documents provided from the country of origin in order to prevent forgery; 3. To ensure the reliability of the information held in the Basic Register of Persons (BRP).

If the applications, using the algorithm, indicate that the person whose identity document and face have been scanned is not the person standing at the counter, the Public Services counter staff member will call in a colleague to verify this finding. A number of applications are processed by foreign affairs specialists. These specialists also apply the ‘four-eyes principle’ in cases of doubt regarding the findings of the document and/or facial scan. If they conclude that the result of the document check and/or facial comparison is correct and the applicant’s identity does not match the identity on the source documents and/or photograph, the application for registration in the BRP or for an identity document will be rejected. In the event of such a rejection, it may be indicated whether there is a suspicion of fraud. In that case, the Police and/or the Military Police are called in for further investigation.

Considerations

The use of this algorithm helps staff in the Public Services Department to verify the identity of members of the public at the counter. Documents contain a number of security features that the document scanner can detect more accurately than the human eye. This also applies to the verification of biometric features in the face. 

Human intervention

Yes. No distinction is made in the use of the document scanner and facial recognition system. Both tools are used for every citizen who comes to register as a resident of the municipality of 's-Hertogenbosch and/or to apply for identity documents. Furthermore, the ‘four-eyes principle’ is applied if the result of the document check or facial recognition check is negative. Finally, a final check is also carried out by a counter clerk when identity documents are issued.                                        

Risk management

By always using the applications when registering with the BRP or when applying for identity documents, the risk of potential profiling is ruled out from the outset. A further risk is that the automated document check or facial recognition system could lead to an automated decision. This risk is mitigated by ensuring that the findings are always reviewed by a member of staff. In cases of doubt, this review is carried out by at least two members of staff. 

Legal basis

Legal obligation to carry out proper identity verification: BRP Act, Article 2.67(4); BRP Decree, Article 35. Admissibility of biometrics: UAVG, Article 29; in the present situation, authentication is necessary.

Links to legal bases

BRP Act, Article 2.67(4); BRP Decree, Article 35: Admissibility of biometric data: UAVG, Article 29: https://wetten.overheid.nl/BWBR0033715/2023-10-01#Hoofdstuk2

Operations

Data

Biometric features on the face and security features on the document.

Technical design

Deep learning. Advanced face recognition APIs: C++, Java, Microsoft .NET, BioAPI 2.0 Verification Engine (C API). Documented examples for the main use cases and specific implementations. Tools for biometric evaluations, including the generation of ‘identification match’ summaries and ‘similarity matrix’ data.

External provider

Oribi B.V.

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