title: A new phase-correlation-based iris matching for degraded images.
abstract: In this paper, we present a new phase-correlation-based iris matching approach in order to deal with degradations in iris images due to unconstrained acquisition procedures. Our matching system is a fusion of global and local Gabor phase-correlation schemes. The main originality of our local approach is that we do not only consider the correlation peak amplitudes but also their locations in different regions of the images. Results on several degraded databases, namely, the CASIA-BIOSECURE and Iris Challenge Evaluation 2005 databases, show the improvement of our method compared to two available reference systems, Masek and Open Source for Iris (OSRIS), in verification mode.
authors.affiliation: Electronics and Physics Departement, TELECOM & Management SudParis, Institut TELECOM, 91011 Evry, France. emine501@yahoo.fr
authors.forename: Emine
authors.initials: E
authors.lastname: Krichen
authors.forename: Sonia
authors.initials: S
authors.lastname: Garcia-Salicetti
authors.forename: Bernadette
authors.initials: B
authors.lastname: Dorizzi
mesh_terms: D000465:Algorithms; D001699:Biometry / Q000379:methods*; D016208:Databases, Factual; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007498:Iris / Q000033:anatomy & histology*; D010363:Pattern Recognition, Automated / Q000379:methods*