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.
Automatic face comparison
- Publication category
- High-Risk AI-system
- Impact assessment
- Field not filled in.
- Status
- In use
General information
Theme
Begin date
Contact information
Responsible use
Goal and impact
The algorithm automatic facial image comparison supports the decisions made by experts. It is deployed in addition to the research done only by the experts. The algorithm is deployed to make the final judgment even more objective because of an algorithm can be well measured in what way and how well it works.
Considerations
The use of the algorithm allows the facial image comparison investigation to be carried out more efficiently and effectively. Combined with the assessment of the images by a human, the result of the investigation is more reliable and has more probative value in a criminal investigation.
Human intervention
The face image comparison research in which the algorithm is used has human intervention. It is determined beforehand whether the algorithm is suitable for the research material; afterwards, it is determined exactly what the outcome means for the research question. The result of the automatic face image comparison is included in the outcome of the research where a human watches and compares the face images. The algorithm is used alongside the expert's judgement.
Risk management
specification follows
Operations
Data
The algorithm uses a face image of a person on a camera image (often an unknown person) and a face image of a known person (often a police photo of a suspect). The facial images are personal data.
Technical design
The disputed face image and the reference image are presented to the software. The software uses an algorithm that extracts features of the face from each of the images and determines the degree of similarity between the facial images. The degree of similarity between the two images is expressed as a score. The interpretation of the score is again done by experts. For each case, we reassess whether the algorithm can be used.
External provider
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