Pupil Segmentation Using Orientation Fields, Radial Non-Maximal Suppression and Elliptic Approximation

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  • Additional Information
    • Publication Information:
      Stefan cel Mare University of Suceava, 2019.
    • Publication Date:
      2019
    • Collection:
      LCC:Electrical engineering. Electronics. Nuclear engineering
      LCC:Computer engineering. Computer hardware
    • Abstract:
      This paper proposes a novel pupil segmentation method for robust iris recognition systems. The proposed method uses orientation fields to accurately detect an initial pupil center, and applies radial non-maximal suppression to remove non-pupil boundaries. Finally, we repeatedly fit the pupil boundary by radius-updating, center-shifting and region of interest (ROI) shrinking adjusting the radius and center of a circular model, and the estimated pupil boundary is approximated with a novel elliptic model. By the elliptic approximation, the pupil boundaries are more correctly segmented than those of circular models. The detection hit ratio is largely improved due to robust detection of the initial centers. The experimental results show that the proposed method can accurately detect pupils for various iris images.
    • File Description:
      electronic resource
    • ISSN:
      1582-7445
      1844-7600
    • Relation:
      https://doaj.org/toc/1582-7445; https://doaj.org/toc/1844-7600
    • Accession Number:
      10.4316/AECE.2019.02009
    • Rights:
      Journal Licence: CC BY-NC-ND
    • Accession Number:
      edsdoj.0fba9b46d6541f6b9744c1a919c516b
  • Citations
    • ABNT:
      LEE, S.; LEE, D.; PARK, Y. Pupil Segmentation Using Orientation Fields, Radial Non-Maximal Suppression and Elliptic Approximation. Advances in Electrical and Computer Engineering, [s. l.], n. 2, p. 69, 2019. Disponível em: . Acesso em: 18 out. 2019.
    • AMA:
      LEE S, LEE D, PARK Y. Pupil Segmentation Using Orientation Fields, Radial Non-Maximal Suppression and Elliptic Approximation. Advances in Electrical and Computer Engineering. 2019;(2):69. doi:10.4316/AECE.2019.02009.
    • APA:
      LEE, S., LEE, D., & PARK, Y. (2019). Pupil Segmentation Using Orientation Fields, Radial Non-Maximal Suppression and Elliptic Approximation. Advances in Electrical and Computer Engineering, (2), 69. https://doi.org/10.4316/AECE.2019.02009
    • Chicago/Turabian: Author-Date:
      LEE, S., D. LEE, and Y. PARK. 2019. “Pupil Segmentation Using Orientation Fields, Radial Non-Maximal Suppression and Elliptic Approximation.” Advances in Electrical and Computer Engineering, no. 2: 69. doi:10.4316/AECE.2019.02009.
    • Harvard:
      LEE, S., LEE, D. and PARK, Y. (2019) ‘Pupil Segmentation Using Orientation Fields, Radial Non-Maximal Suppression and Elliptic Approximation’, Advances in Electrical and Computer Engineering, (2), p. 69. doi: 10.4316/AECE.2019.02009.
    • Harvard: Australian:
      LEE, S, LEE, D & PARK, Y 2019, ‘Pupil Segmentation Using Orientation Fields, Radial Non-Maximal Suppression and Elliptic Approximation’, Advances in Electrical and Computer Engineering, no. 2, p. 69, viewed 18 October 2019, .
    • MLA:
      LEE, S., et al. “Pupil Segmentation Using Orientation Fields, Radial Non-Maximal Suppression and Elliptic Approximation.” Advances in Electrical and Computer Engineering, no. 2, 2019, p. 69. EBSCOhost, doi:10.4316/AECE.2019.02009.
    • Chicago/Turabian: Humanities:
      LEE, S., D. LEE, and Y. PARK. “Pupil Segmentation Using Orientation Fields, Radial Non-Maximal Suppression and Elliptic Approximation.” Advances in Electrical and Computer Engineering, no. 2 (2019): 69. doi:10.4316/AECE.2019.02009.
    • Vancouver/ICMJE:
      LEE S, LEE D, PARK Y. Pupil Segmentation Using Orientation Fields, Radial Non-Maximal Suppression and Elliptic Approximation. Advances in Electrical and Computer Engineering [Internet]. 2019 [cited 2019 Oct 18];(2):69. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.0fba9b46d6541f6b9744c1a919c516b&custid=s8280428