Publication: Texture Analysis Based Iris Recognition
Date
2006-01
Authors
Akan, Aydın
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Abstract
In this paper, we present a new method for personal identification, based on iris patterns. The method
composed of iris image acquisition, image preprocessing, feature extraction and finally decision
stages. Normalized iris images are vertically log-sampled and filtered by circular symmetric Gabor
filters. The output of filters are windowed and mean absolute deviation of pixels in the window are
calculated as the feature vectors. The proposed method has the desired properties of an iris
recognition system such as scale and rotation invariance. The system is realized in Windows platform
using Delphi compiler.
Description
Keywords
Biometrics, Iris Recognition, Gabor Filters, Average Absolute Deviation, Log-Sampling