Image Segmentation and Impainting

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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.

 

Papers:

• Junzhou Huang, Yunhong Wang, Jiali Cui, Tieniu Tan, ”Noise Removal and Impainting Model for Iris Image”,
  International Conference on Image Processing, ICIP’04, pp. 869-872, 2004.

 

• Junzhou Huang, Yunhong Wang, Tieniu Tan, Jiali Cui, ”A New Iris Segmentation Method for Recognition”,

  17th International Conference on Pattern Recognition, ICPR’04 (3), pp. 554-557, 2004.

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