A bifurcation-based descriptor for sclera recognition

Sanghak Lee, Jaihie Kim

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

Abstract

In this paper, we propose a bifurcation-based descriptor using a local structure of blood vessel features on sclera for identity verification. The sclera, one of the ocular biometric traits, can be defined as the white and opaque region of the eye. Unlike iris patterns shown in the near infrared light, the blood vessel patterns of the region can be captured in visible light. As the variability of vessel thickness is not stable, morphological operations are applied to make the vessels thin. Then, bifurcations are extracted on the vessels, and a local structure is constructed of the distances and the angles between a central bifurcation and its neighbors. Finally, each local structure from template and query images is matched considering the topological relation, whereas the traditional methods consider matching features globally. The experimental results using public database, UBIRIS.v1, show a superior equal error rate of 1.92% compared to the existing methods.

Original languageEnglish
Title of host publicationICEIC 2019 - International Conference on Electronics, Information, and Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788995004449
DOIs
Publication statusPublished - 2019 May 3
Event18th International Conference on Electronics, Information, and Communication, ICEIC 2019 - Auckland, New Zealand
Duration: 2019 Jan 222019 Jan 25

Publication series

NameICEIC 2019 - International Conference on Electronics, Information, and Communication

Conference

Conference18th International Conference on Electronics, Information, and Communication, ICEIC 2019
CountryNew Zealand
CityAuckland
Period19/1/2219/1/25

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research was supported by Fundamental Technology Research Program through the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT (MSIT) (No. 2018M3E3A1056488).

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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