Vessel pattern enhancement based on Weber's law for sclera recognition

Sanghak Lee, Jaihie Kim

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

4 Citations (Scopus)

Abstract

The blood vessel patterns of the sclera show rich and unique details in the visible spectrum. In this paper, an efficient vessel enhancement method is proposed based on Weber's law in order to make the blood vessel patterns clearly visible. Then, the Speeded Up Robust Features is used for feature extraction. Experimental results on the UBIRIS version 1 dataset showed that the proposed method is useful to reveal the vague vessel patterns, and Equal Error Rate (EER) is 2.27% including all poor quality images (e.g. blurred or blinked images).

Original languageEnglish
Title of host publicationInternational Conference on Electronics, Information and Communication, ICEIC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-2
Number of pages2
ISBN (Electronic)9781538647547
DOIs
Publication statusPublished - 2018 Apr 2
Event17th International Conference on Electronics, Information and Communication, ICEIC 2018 - Honolulu, United States
Duration: 2018 Jan 242018 Jan 27

Publication series

NameInternational Conference on Electronics, Information and Communication, ICEIC 2018
Volume2018-January

Other

Other17th International Conference on Electronics, Information and Communication, ICEIC 2018
CountryUnited States
CityHonolulu
Period18/1/2418/1/27

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All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Lee, S., & Kim, J. (2018). Vessel pattern enhancement based on Weber's law for sclera recognition. In International Conference on Electronics, Information and Communication, ICEIC 2018 (pp. 1-2). (International Conference on Electronics, Information and Communication, ICEIC 2018; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ELINFOCOM.2018.8330576