<p><strong>Abstract.</strong> In this article the new method for iris image features extraction based on phase congruency is proposed. Iris image key points are calculated using the convolutions with Hermite transform functions. At each key point the feature vector characterizing this key point is obtained based on the phase congruency method. Iris key point descriptor contains phase congruency values at points located on concentric circles around the key point. To compare the key points, Euclidean metric between the key points descriptors is calculated. The distance between the iris images is equal to the number of matched iris key points. The proposed method was tested using the images from CASIA−IrisV4−Interval database and the value of EER&thinsp;=&thinsp;0.226% was obtained.</p>
Fractional Fourier transform is the generalization of the Fourier transform. In this article the synthesis of phase and magnitude of fractional Fourier transform is demonstrated. The influence of phase and magnitude on the synthesis results is shown. The fractional phase correlation function using fractional Fourier transform is calculated, and it is used for image matching. The use of fractional phase correlation can achieve better results compared to the use of the classical phase correlation. The comparison between phase correlation and fractional phase correlation for biometric iris images is given. The selection of optimal parameter for fractional phase correlation is proposed.
A phase congruency measure calculated near image key points is proposed for key point matching. An algorithm for the construction and matching of key point descriptors is presented. The proposed method will match the key points of images of different sizes, with different rotation angles, and acquired under different illumination conditions. A modification of the proposed method can be used for the comparison of key points of iris images.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.