Abstract
AbstractIris recognition is one of the most consistent and unique biometric-based recognition systems. Iris-based authentication has been a challenging problem especially for noisy and non-ideal iris images, as the images include realistic noise factors. Presence of noise like reflection of light on eye images, i.e. specular reflection, causes problem in iris recognition. It is one of the major pre-processing tasks in iris recognition system. In this paper, two new and efficient approaches have been proposed and compared their robustness with a few existing specular reflection removal techniques, considering the challenging situation of non-ideal iris images. The first approach uses inward interpolation, and the second approach uses bilinear interpolation with extension to remove reflection. These suggested approaches are faster in execution as well as robust enough to remove reflection without disturbing the texture pattern of original iris images.KeywordsIris recognitionBiometricsReflection removalMeanInward interpolationLinear interpolationBilinear interpolationStructural similarity
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