In current scenario, biometric identification is becoming more popular. The performance of iris recognition depends on iris segmentation. Iris segmentation plays a very vital role for iris recognition. In this work, different scheme for non-ideal iris image segmentation is investigated. In non-ideal iris image eyelash and eyelid occlusion, reflection exists which is absent in the ideal iris image. So non-ideal iris segmentation is challenging. The use of anisotropic diffusion to the iris image also removes the eyelash and eyelid occlusions. This piece of work has been subdivided into two different areas: first to finding iris center and inner boundary and secondly to find exterior boundary. © Springer India 2015.
CITATION STYLE
Singh, C., Sahoo, M., & Mohanty, B. P. (2015). Non-ideal Iris Segmentation Using Wavelet-Based Anisotropic Diffusion. In Advances in Intelligent Systems and Computing (Vol. 309 AISC, pp. 377–383). Springer Verlag. https://doi.org/10.1007/978-81-322-2009-1_43
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