NOISE REMOVAL AND IMPAINTING MODEL FOR IRIS IMAGE (MP-P3)

Author(s) : Junzhou Huang (National Laboratory of Pattern Recognition, Institute of Automation,CAS, China) Yunhong Wang (National Laboratory of Pattern Recognition, Institute of Automation,CAS, China) Jiali Cui (National Laboratory of Pattern Recognition, Institute of Automation,CAS, China) Tieniu Tan (National Laboratory of Pattern Recognition, Institute of Automation,CAS, China)

Abstract : Noise removal is an important problem for iris recognition. If the iris regions were not correctly segmented in iris images, segmented iris regions possibly include noises, namely eyelashes, eyelids, reflections and pupil. Noises influence the features of both noise regions and their neighboring regions, which will result in poor recognition performance. To solve this problem, this paper proposes a method for removing noises and impainting iris images. The whole procedure includes three steps: 1) localization and normalization, 2) noise removal based on phase congruency, and 3) iris image impainting. A series of experiments show that the proposed method has encouraging performance for improving the recognition accuracy.

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