Czajka, A; Strzelczyk, P
We propose an iris recognition technique using transformation of the iris image into a binary sequence that represents zero-crossing points of the filtered image by way of Laplacian of Gaussians. Novel iris localization and occlusion detection methods are developed to transform the iris image into the sequence of 1D stripes. The proposed enrollment procedure includes an independent selection of iris stripes among a number of enrollment images to minimize the recognition errors. The eyeball spontaneous rotation is corrected at the verification stage. The methodology was tested with a local database of 180 different irises, revealing the EER (Equal Error Rate ) at the level of 0.03%.