Texture code matrix-based multi-instance iris recognition

@article{Umer2015TextureCM,
  title={Texture code matrix-based multi-instance iris recognition},
  author={Saiyed Umer and Bibhas Chandra Dhara and Bhabatosh Chanda},
  journal={Pattern Analysis and Applications},
  year={2015},
  volume={19},
  pages={283-295}
}
This paper proposes a novel texture feature for iris recognition. The iris recognition system consists of three major components: pre-processing, feature extraction and classification. During pre-processing, iris is segmented using constrained circular Hough transform, which reduces both time and space complexity. In this work, from normalized iris image, a novel texture code matrix is generated, which is then used to obtain a co-occurrence matrix. Finally, desired texture features are computed… CONTINUE READING
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