Can image quality enhancement methods improve the performance of biometric systems for degraded visible wavelength iris images?

Christophe Charrier (1) , Xinwei Liu (1)

1 Equipe SAFE - Laboratoire GREYC - UMR6072

The accuracy of Visible Wavelength (VW) iris recognition systems is significantly affected by the quality of iris sample images. Using degraded VW iris sample images can significantly decrease the performance of iris recognition systems. There are not many iris quality enhancement methods in the research field. Therefore, it is interesting to investigate whether existing image quality enhancement methods can improve the performance of biometric systems for degraded VW iris images. In this paper, we apply nine image enhancement methods to a VW iris database, which contains high quality and degraded iris sample images. The experimental results show that some of selected enhancement methods can improve VW iris recognition system performance.

Mots clés: image quality enhancement; biometric system performance; iris recognition; visible wavelength; degraded iris images

Domaines: Cryptographie et sécurité [cs.CR]; Traitement des images [eess.IV]; Traitement du signal et de l'image [eess.SP]

Christophe Charrier, Xinwei Liu. Can image quality enhancement methods improve the performance of biometric systems for degraded visible wavelength iris images?. 3rd International Conference on Bio-engineering for Smart Technologies (BioSMART), Apr 2019, Paris, France. ⟨hal-02115383⟩