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Shared Biometric Matching Service (sBMS)
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Shared Biometric Matching Service (sBMS)

Feasibility study - final report

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This report reflects the main outcomes of the eu-LISA study on the feasibility of a shared biometric matching service. The study sought to examine possible future architectures for such a service. The architectures were elaborated following an in-depth assessment of the current state of eu-LISA’s biometric services and the availability of modern solutions for such purposes on the market. The different architectural options were compared based on their capabilities to fulfil functional and non-functional requirements of current and future applications and the extent to which they fulfil the main objectives of the sBMS. Possible approaches to migrating to the different setups were considered along with the associated impacts. Finally, the extent to ‘flagging’ could be possible within the elaborated setups was studied. Initial work focussed on elaboration of a clear picture of the existing systems, their requirements and high-level architectures. This provided a solid ground for defining possible scenarios for the sBMS. It was noted that there are some reusability options within the current Eurodac and VIS/BMS solutions, depending on the common ABIS (Automated Biometric Information System) scenario. However, a more detailed analysis of the financial feasibility of reusing the components would be needed as soon as the exact architecture and configuration is defined and agreed amongst all relevant stakeholders. When considering the current state of maturity of biometric technology, it was found that the biometrics market is progressing at a high speed, introducing new opportunities for border control and law enforcement. Leading vendors are improving their current offerings to cover new functionalities and biometric modalities. There are also new emerging vendors who are bringing innovative biometrics solutions to the market. Throughout the study, technical possibilities were assessed based on the offerings of vendors whose capabilities were considered as representative of the market as a whole. As rationale for selecting the vendors, the study took into account publicly available information and vendors’ proven track record regarding capabilities for delivering with the required accuracy in the context of large-scale biometric projects in the public service, including outside their home countries. Exclusion criteria were defined while capabilities to support multi-modal biometrics, namely facial images, fingerprints (latent, rolled, flat, slap), iris and palm, to provide high matching accuracy, reliable recognition and to guard against spoofing attacks were considered. Additionally, the vendors’ support for both verification (1:1 verification, border control) and identification (1:few, 1:n, law enforcement, asylum) was taken into account.
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