Fast and reliable iris segmentation algorithm

Abduljalil Radman, Kasmiran Jumari, Nasharuddin Zainal

Research output: Contribution to journalArticle

42 Citations (Scopus)

Abstract

Design a fast and reliable iris segmentation algorithm for less constrained iris images is essential to build a robust iris recognition system. Daugman's integrodifferential operator (IDO) is one of powerful iris segmentation mechanisms, but in contrast consumes a large portion of the computational time for localising the rough position of the iris centre and eyelid boundaries. To address this problem, a fast iris segmentation algorithm is proposed. First, the circular Gabor filter is adopted to find the rough position of the pupil centre. Second, the iris and pupil circles are localised using the IDO taken into account that the real centres of the iris and pupil are in the small area around the rough position of the pupil centre. Third, the upper and lower eyelid boundaries are extracted using the live-wire technique. Experimental results demonstrate that the proposed iris segmentation algorithm significantly minimises the required time to segment the iris without affecting the segmentation accuracy. Moreover, the comparison results with state-of-the-art iris segmentation algorithms show the superiority of the proposed algorithm in terms of segmentation accuracy and recognition performance. The challenging UBIRIS.v1 iris image database is utilised to evaluate the performance of the proposed algorithm.

Original languageEnglish
Pages (from-to)42-49
Number of pages8
JournalIET Image Processing
Volume7
Issue number1
DOIs
Publication statusPublished - 2013

Fingerprint

Gabor filters
Wire

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Software
  • Computer Vision and Pattern Recognition

Cite this

Fast and reliable iris segmentation algorithm. / Radman, Abduljalil; Jumari, Kasmiran; Zainal, Nasharuddin.

In: IET Image Processing, Vol. 7, No. 1, 2013, p. 42-49.

Research output: Contribution to journalArticle

Radman, Abduljalil ; Jumari, Kasmiran ; Zainal, Nasharuddin. / Fast and reliable iris segmentation algorithm. In: IET Image Processing. 2013 ; Vol. 7, No. 1. pp. 42-49.
@article{94b5d1cd7cfc448a83fa491fb1951be6,
title = "Fast and reliable iris segmentation algorithm",
abstract = "Design a fast and reliable iris segmentation algorithm for less constrained iris images is essential to build a robust iris recognition system. Daugman's integrodifferential operator (IDO) is one of powerful iris segmentation mechanisms, but in contrast consumes a large portion of the computational time for localising the rough position of the iris centre and eyelid boundaries. To address this problem, a fast iris segmentation algorithm is proposed. First, the circular Gabor filter is adopted to find the rough position of the pupil centre. Second, the iris and pupil circles are localised using the IDO taken into account that the real centres of the iris and pupil are in the small area around the rough position of the pupil centre. Third, the upper and lower eyelid boundaries are extracted using the live-wire technique. Experimental results demonstrate that the proposed iris segmentation algorithm significantly minimises the required time to segment the iris without affecting the segmentation accuracy. Moreover, the comparison results with state-of-the-art iris segmentation algorithms show the superiority of the proposed algorithm in terms of segmentation accuracy and recognition performance. The challenging UBIRIS.v1 iris image database is utilised to evaluate the performance of the proposed algorithm.",
author = "Abduljalil Radman and Kasmiran Jumari and Nasharuddin Zainal",
year = "2013",
doi = "10.1049/iet-ipr.2012.0452",
language = "English",
volume = "7",
pages = "42--49",
journal = "IET Image Processing",
issn = "1751-9659",
publisher = "Institution of Engineering and Technology",
number = "1",

}

TY - JOUR

T1 - Fast and reliable iris segmentation algorithm

AU - Radman, Abduljalil

AU - Jumari, Kasmiran

AU - Zainal, Nasharuddin

PY - 2013

Y1 - 2013

N2 - Design a fast and reliable iris segmentation algorithm for less constrained iris images is essential to build a robust iris recognition system. Daugman's integrodifferential operator (IDO) is one of powerful iris segmentation mechanisms, but in contrast consumes a large portion of the computational time for localising the rough position of the iris centre and eyelid boundaries. To address this problem, a fast iris segmentation algorithm is proposed. First, the circular Gabor filter is adopted to find the rough position of the pupil centre. Second, the iris and pupil circles are localised using the IDO taken into account that the real centres of the iris and pupil are in the small area around the rough position of the pupil centre. Third, the upper and lower eyelid boundaries are extracted using the live-wire technique. Experimental results demonstrate that the proposed iris segmentation algorithm significantly minimises the required time to segment the iris without affecting the segmentation accuracy. Moreover, the comparison results with state-of-the-art iris segmentation algorithms show the superiority of the proposed algorithm in terms of segmentation accuracy and recognition performance. The challenging UBIRIS.v1 iris image database is utilised to evaluate the performance of the proposed algorithm.

AB - Design a fast and reliable iris segmentation algorithm for less constrained iris images is essential to build a robust iris recognition system. Daugman's integrodifferential operator (IDO) is one of powerful iris segmentation mechanisms, but in contrast consumes a large portion of the computational time for localising the rough position of the iris centre and eyelid boundaries. To address this problem, a fast iris segmentation algorithm is proposed. First, the circular Gabor filter is adopted to find the rough position of the pupil centre. Second, the iris and pupil circles are localised using the IDO taken into account that the real centres of the iris and pupil are in the small area around the rough position of the pupil centre. Third, the upper and lower eyelid boundaries are extracted using the live-wire technique. Experimental results demonstrate that the proposed iris segmentation algorithm significantly minimises the required time to segment the iris without affecting the segmentation accuracy. Moreover, the comparison results with state-of-the-art iris segmentation algorithms show the superiority of the proposed algorithm in terms of segmentation accuracy and recognition performance. The challenging UBIRIS.v1 iris image database is utilised to evaluate the performance of the proposed algorithm.

UR - http://www.scopus.com/inward/record.url?scp=84877799143&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84877799143&partnerID=8YFLogxK

U2 - 10.1049/iet-ipr.2012.0452

DO - 10.1049/iet-ipr.2012.0452

M3 - Article

VL - 7

SP - 42

EP - 49

JO - IET Image Processing

JF - IET Image Processing

SN - 1751-9659

IS - 1

ER -