NIST updates biometric image quality assessment evaluation, seeks feedback

Image quality assessment algorithms are getting better at detection specific defects that will impact face biometrics match success, according to a new report from the U.S. National Institute of Standards and Technology.

NIST’s Face Analysis Technology Evaluation (FATE) Part 11 report evaluates algorithms for Face Image Quality Vector Assessment, in terms of their performance for Quality Specific Image Defect Detection (SIDD).

The latest evaluation adds a pair of submissions from secunet, as well as modified measures for subjects with …

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