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

Fingerprint

Blood vessels
Biometrics
Infrared radiation

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Lee, S., & Kim, J. (2019). A bifurcation-based descriptor for sclera recognition. In ICEIC 2019 - International Conference on Electronics, Information, and Communication [8706438] (ICEIC 2019 - International Conference on Electronics, Information, and Communication). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ELINFOCOM.2019.8706438
Lee, Sanghak ; Kim, Jaihie. / A bifurcation-based descriptor for sclera recognition. ICEIC 2019 - International Conference on Electronics, Information, and Communication. Institute of Electrical and Electronics Engineers Inc., 2019. (ICEIC 2019 - International Conference on Electronics, Information, and Communication).
@inproceedings{34ab6524927645d1a64d1f2a05d0468a,
title = "A bifurcation-based descriptor for sclera recognition",
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.",
author = "Sanghak Lee and Jaihie Kim",
year = "2019",
month = "5",
day = "3",
doi = "10.23919/ELINFOCOM.2019.8706438",
language = "English",
series = "ICEIC 2019 - International Conference on Electronics, Information, and Communication",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICEIC 2019 - International Conference on Electronics, Information, and Communication",
address = "United States",

}

Lee, S & Kim, J 2019, A bifurcation-based descriptor for sclera recognition. in ICEIC 2019 - International Conference on Electronics, Information, and Communication., 8706438, ICEIC 2019 - International Conference on Electronics, Information, and Communication, Institute of Electrical and Electronics Engineers Inc., 18th International Conference on Electronics, Information, and Communication, ICEIC 2019, Auckland, New Zealand, 19/1/22. https://doi.org/10.23919/ELINFOCOM.2019.8706438

A bifurcation-based descriptor for sclera recognition. / Lee, Sanghak; Kim, Jaihie.

ICEIC 2019 - International Conference on Electronics, Information, and Communication. Institute of Electrical and Electronics Engineers Inc., 2019. 8706438 (ICEIC 2019 - International Conference on Electronics, Information, and Communication).

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

TY - GEN

T1 - A bifurcation-based descriptor for sclera recognition

AU - Lee, Sanghak

AU - Kim, Jaihie

PY - 2019/5/3

Y1 - 2019/5/3

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85065889823&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85065889823&partnerID=8YFLogxK

U2 - 10.23919/ELINFOCOM.2019.8706438

DO - 10.23919/ELINFOCOM.2019.8706438

M3 - Conference contribution

T3 - ICEIC 2019 - International Conference on Electronics, Information, and Communication

BT - ICEIC 2019 - International Conference on Electronics, Information, and Communication

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Lee S, Kim J. A bifurcation-based descriptor for sclera recognition. In ICEIC 2019 - International Conference on Electronics, Information, and Communication. Institute of Electrical and Electronics Engineers Inc. 2019. 8706438. (ICEIC 2019 - International Conference on Electronics, Information, and Communication). https://doi.org/10.23919/ELINFOCOM.2019.8706438