Tag: Biometric Access Control

  • Germany’s BSI Opens Call for Background-Removal Technology in New Biometric Benchmark

    Germany’s BSI Opens Call for Background-Removal Technology in New Biometric Benchmark

    Germany’s Federal Office for Information Security (BSI) is calling on developers to submit background-removal software and device-based solutions for a new benchmark focused on facial images. The BGR-PROJECT, short for Background Removal Benchmark, aims to assemble what BSI calls a “representative and technically sound selection” of current background-removal algorithms for standardized evaluation, with submissions open until November 27, 2026.

    Why background removal matters for passport photos

    Background removal separates a person from their surroundings in a photograph so the subject can be recomposited onto a plain, uniform background, as required by identity-document standards including ISO/IEC 39794-5 and ICAO Doc 9303 for machine-readable travel documents. Those specifications are designed to prevent distracting shadows, patterns or objects behind a subject’s head from degrading image quality used for biometric identity verification. BSI notes that the task sounds simple but is technically difficult: isolating exactly where a person ends and the background begins without introducing artifacts that reduce facial image quality.

    What the benchmark will measure

    Once BSI collects submissions, the agency plans to use them to build a benchmark that scores background-removal tools on accuracy and consistency, giving passport and ID-document issuers and biometric vendors a standardized way to compare implementations rather than relying on vendor claims alone.

    Sources and further reading

  • Biometric Access Control: Fingerprint, Face, Iris and Palm

    Biometric Access Control: Fingerprint, Face, Iris and Palm

    Fingerprint

    Fingerprint readers are mature and compact, but dirty, wet or damaged fingers and hygiene concerns can affect performance and acceptance.

    Face recognition

    Contactless facial authentication can be fast, but depends on camera position, lighting, image quality and presentation-attack defenses.

    Iris recognition

    Iris patterns can support high-assurance matching, while specialized hardware and user positioning may increase complexity and cost.

    Palm and palm-vein systems

    Palm systems may use surface geometry or subsurface vein patterns. Contactless options can balance strong authentication with high-throughput operation.

    Use more than one factor

    Combining a biometric with a secure card or mobile credential reduces reliance on a single modality and provides a recovery path when authentication fails.

    Privacy and governance

    Biometric templates require encryption, retention limits, access controls, a lawful processing basis and reliable deletion procedures. Unlike a password, a biometric characteristic cannot simply be replaced.

    Conclusion

    There is no universally best modality. Selection should reflect risk, environment, throughput, privacy obligations and user experience.