Eye detection for eyeglass wearers in iris recognition

Yujin Jung, Dongik Kim, Jaihie Kim

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

3 Citations (Scopus)

Abstract

An eye detection method for eyeglass wearers in iris recognition is proposed. The eye detection method consists of two steps; eye candidate detection and eye validation. In eye candidate detection, eye candidates are searched by employing a mask with 2×3 sub-blocks on a near infrared eye image to compute the intensity difference between the iris region and the surrounding regions. In eye validation, an eye is verified by searching a pupil region in the eye candidates by employing a mask with 3×3 sub-blocks to compute the intensity difference between the pupil region and its surrounding regions. The experiment result shows that the eye detection rate is higher when a 2×3 mask is employed than when a 3×3 mask is employed in the eye candidate detection for eyeglass wearers.

Original languageEnglish
Title of host publicationISCE 2014 - 18th IEEE International Symposium on Consumer Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479945924
DOIs
Publication statusPublished - 2014
Event18th IEEE International Symposium on Consumer Electronics, ISCE 2014 - Jeju, Korea, Republic of
Duration: 2014 Jun 222014 Jun 25

Publication series

NameProceedings of the International Symposium on Consumer Electronics, ISCE

Other

Other18th IEEE International Symposium on Consumer Electronics, ISCE 2014
Country/TerritoryKorea, Republic of
CityJeju
Period14/6/2214/6/25

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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