Automatic localization of pupil using eccentricity and iris using gradient based method

Tariq M. Khan, M. Aurangzeb Khan, Shahzad A. Malik, Shahid A. Khan, Tariq Bashir, Amir H. Dar

Research output: Contribution to journalArticle

40 Citations (Scopus)


This paper presents a novel approach for the automatic localization of pupil and iris. Pupil and iris are nearly circular regions, which are surrounded by sclera, eyelids and eyelashes. The localization of both pupil and iris is extremely important in any iris recognition system. In the proposed algorithm pupil is localized using Eccentricity based Bisection method which looks for the region that has the highest probability of having pupil. While iris localization is carried out in two steps. In the first step, iris image is directionally segmented and a noise free region (region of interest) is extracted. In the second step, angular lines in the region of interest are extracted and the edge points of iris outer boundary are found through the gradient of these lines. The proposed method is tested on CASIA ver 1.0 and MMU Iris databases. Experimental results show that this method is comparatively accurate.

Original languageEnglish
Pages (from-to)177-187
Number of pages11
JournalOptics and Lasers in Engineering
Issue number2
Publication statusPublished - Feb 2011
Externally publishedYes


  • Biometrics
  • Iris localization
  • Iris recognition
  • Segmentation

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