Finger vein segmentation from infrared images using spectral clustering: An approach for user indentification

Zenin J. Vásquez-Villar, Juan J. Choquehuanca-Zevallos, Jimmy Ludeña-Choez, Efrain Tito Mayhua Lopez

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

2 Scopus citations

Abstract

Among biometric systems for user identification, finger vein patterns captured in the infrared spectrum have shown to be relevant for identifying users; and, in this way to provide a high level and low-cost security system. Unfortunately, the extraction of these vascular patterns is affected by many factors such as the capture device, light variations, force exerted on the finger, tissues, and bones with different morphology, finger position, etc. Therefore in this paper, we propose Spectral Clustering for the vein pattern extraction task from infrared images. To do so, the Spectral Clustering memory requirements for a large number of samples are attacked considering small disjoint partitions of the image and comparing resulting clusters in order to joint them avoiding the need for further expensive post-processing steps. Results are presented in terms of user classification error rates, showing that a good performance can be obtained by means of the proposed method.

Original languageEnglish
Title of host publication2020 IEEE 10th International Conference on System Engineering and Technology, ICSET 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages245-249
Number of pages5
ISBN (Electronic)9781728199108
DOIs
StatePublished - 9 Nov 2020
Externally publishedYes
Event10th IEEE International Conference on System Engineering and Technology, ICSET 2020 - Shah Alam, Malaysia
Duration: 9 Nov 2020 → …

Publication series

Name2020 IEEE 10th International Conference on System Engineering and Technology, ICSET 2020 - Proceedings

Conference

Conference10th IEEE International Conference on System Engineering and Technology, ICSET 2020
Country/TerritoryMalaysia
CityShah Alam
Period9/11/20 → …

Bibliographical note

Publisher Copyright:
© 2020 IEEE

Keywords

  • Biometrics
  • Classification
  • Feature extraction
  • Finger-vein authentication
  • Image segmentation
  • Machine learning
  • Pattern recognition

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