Iris Quality

Motivation & Goals

Iris stands out among other biometric characteristics due to its long-time stability and the richness of its pattern. In order to ensure proper functioning of biometric recognition systems, inputs (i.e., face or iris images, fingerprint samples) need to fulfil high quality standards -  remember the garbage-in garbage-out principle. Toolkits for the  assessment of the quality of a biometric samples already exists for face (OFIQ from the BSI) and fingerprint (NIST's NFIQ 2.0) samples, but not yet for iris. Only a handful of general purpose metrics are mentioned in the ISO/IEC 29794-6 and have been implemented in the literature.

Tasks

• Study the state-of-the-art in iris sample quality
• Develop and evaluate iris quality assessment methods, inspired by NFIQ and OFIQ
• Benchmark the developed methods against the state-of-the-art

Contact

Marta Gomez-Barrero (marta.gomez-barrero@unibw.de)