A low-cost video-based iris recognition system YESS’09, July 8-9 2009, Washington

1. Stéphane Derrode, William Ketchantang, salah Bourennane and Lionel Martin Institut Fresnel (UMR 6133), Ecole Centrale Marseille, France stephane.derrode@centrale-marseille.fr Coarse loc. of dark region Morphological operations(Specular highlight). Pupil loc.(Cp, Rp) Adaptative histogramthresholding. t-1 Iris loc.(Ci, Ri) Analysis of 1D horiz. intensity profile passing through Cp. t t+1 BATH CASIA ST US Patent Applications: L. Martin, G. Petitjean, S. Derrode, W. Ketchantang. Method and device for locating a human iris in an eye image. No. 2008/0273,763, STMicroelectronics SA; Univ. Paul Cézanne Aix-Marseille III. June 11, 2008. Accept Reject ST Microelectronics • S. Derrode et F. Ghorbel, Robust and efficient Fourier-Mellin transform approximations for invariant grey-level image description and reconstruction, Computer Vision and Image Understanding, Vol. 83(1), pp. 57-78, juillet 2001. Frame 0 Frame 243 Frame 303 Frame 518 A low-costvideo-based iris recognition system YESS’09, July 8-9 2009, Washington Acknowledgment: The authors would like to thank to PACA region (France), and ST MicroElectronics for financial support. Our tests have been partly conducted on videos coming from the EC Funded CAVIAR project/IST 2001 37540. http://homepages.inf.ed.ac.uk/rbf/CAVIAR/. Pupil and iris localization Iris image and artefacts Specular highlight Video camera Eyelid Acquisition of a workable iris image requires a strict cooperation of the user. Iris images generally show partial occlusions due to eyelids and eyelashes, blur, light reflections due to lens and glasses uses… Usually, it requires several attempts to get a workable image. Eyelashes LED (770nm) Sclera LCD Pupil Ciliary area Prototype Pupillary area Iris Collarette Blink partial occlusion Blink total occlusion Focused Motion blur Defocus blur Pupil detection & localization Video acquisition • The system (see prototype) is made of a CMOS webcam-type camera with an optic and an IR light source. • Camera: 640 x 480, no autofocus, no automatic gain. • Optic: Focal length: 25 mm; Aperture: 2.5; FOV: H=10°; V=8°; Distance to focus: 20 cm • Light: Infrared GaAIAs LED - 770 nm • The LCD helps the user to furnish a correct image of its eye. Quality irisimage selection Prediction of nextpupil localization Poor Iris signature extraction High Fourier-Mellin transform Invariance to rotation and dilatation « On-the-fly » iris quality check Irislocalization IQS = IFS + BPD + V(t|t-1)-1 Area selection N images Iris QualityScore Circular freq. in collarette Black pixel density Pupil relative velocity(Kalman filter) Iris signatureextraction Enrolment Database Encoding J. Daugman N signatures Matching Iris code US Patent Applications: L. Martin, W. Ketchantang, S. Derrode. Method and device for selecting images in a sequence of iris images received in a stream. No. 2008/0075,335, STMicroelectronics SA; Univ. Paul Cézanne Aix-Marseille III. March, 27 2008.