Automatic Pupil Segmentation Based on Circular Active Discs

J. R.Harish Kumar, Kartik Teotia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


Biometric iris recognition technology is one of the popular recognition technologies in biometric authentication systems. Biometric iris recognition has been observed to provide high identification efficiency relative to the other biometric characteristic. This high performance is possible only through accurately segmenting the iris region from the given ocular image. Segmentation of pupil is one of the primary steps in iris segmentation. We propose a pupil segmentation method based on a circular active disc. As a prototype, this technique uses the active discs. The initialization of the active disc is automated using normalized template matching technique. Initialization is followed by an affine transformation of the active disc which makes the active disc lock on to the pupil. The optimum outline around the pupil region is achieved by making use of the Gradient Descent algorithm which is supplemented by efficiently computing the partial derivatives by using the Green's theorem. The algorithm has been validated on two publicly available databases Casia-V3 and the IIT Delhi iris database spanning 4598 iris images in total. The corresponding Dice index scores 0.9463 and 0.9308, respectively for the databases show the robustness of the algorithm, and a high degree of agreement with the ground truth.

Original languageEnglish
Title of host publicationProceedings of the TENCON 2019
Subtitle of host publicationTechnology, Knowledge, and Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781728118956
Publication statusPublished - 10-2019
Event2019 IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019 - Kerala, India
Duration: 17-10-201920-10-2019

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450


Conference2019 IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering


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