Image feature detection from phase congruency based on two-dimensional Hilbert transform
Pattern Recognition Letters
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The techniques used in biometrics are diverse depending on which organ is of interest. When dealing with iris recognition some work was previously done. This paper describes a technique for iris recognition using phase congruency. Phase congruency is used to identify the different feature types that are present in the rich iris texture. It provides an illumination and contrast invariant measure of the significance of feature points. In this paper we will demonstrate how to use phase congruency to locate and identify the minutiae of the iris. An Euclidean distance classifier was used for comparison. Results of this method are seen to be of practical use.