Automatic segmentation of pupil using local histogram and standard deviation

Muhammad Talal Ibrahim, Tariq M. Khan, M. Aurangzeb Khan, Ling Guan

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

5 Citations (Scopus)

Abstract

This paper presents a novel approach for automatic pupil segmentation. The proposed algorithm uses local histogram and standard deviation based adaptive thresholding method that looks for the region that has the highest probability of having the pupil. We have tested our proposed algorithm on two public databases namely: CASIA v1.0 and MMU v1.0. Experimental results show that the proposed method has satisfying performance and good robustness against the reflection in the pupil.

Original languageEnglish
Title of host publicationVisual Communications and Image Processing 2010
Place of PublicationWashington, DC
PublisherSPIE
Pages77442S-1 - 77442S-8
Number of pages8
Volume7744
ISBN (Print)9780819482341
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventVisual Communications and Image Processing 2010 - Huangshan, China
Duration: 11 Jul 201014 Jul 2010

Other

OtherVisual Communications and Image Processing 2010
CountryChina
CityHuangshan
Period11/07/1014/07/10

Keywords

  • Adaptive thresholding
  • Pupil segmentation
  • Standard deviation

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