Image restoration of skin scattering and optical blurring for finger vein recognition

Eui Chul Lee, Kang Ryoung Park

Research output: Contribution to journalArticlepeer-review

113 Scopus citations

Abstract

Finger vein recognition has been adopted due to its high recognition rate and the invisibility of vein in visible light. However, because a finger vein pattern is not distinctive due to light scattering in the skin layer, the localization of a finger vein pattern region using an image processing algorithm is a difficult procedure. Also, optical blurring increases these difficulties. We propose a new finger vein image restoration method to deal with skin scattering and optical blurring. Our research is novel in three ways compared to previous studies. Firstly, the amount of optical blurring of a finger vein image is measured based on the average gradient of the orthogonal profile of a finger edge. Secondly, the accurate point spread function (PSF) of optical blurring is adaptively determined based on the orthogonal profile of a finger edge. Thirdly, using a constrained least square (CLS) filter and optimized parameters in terms of the lowest error of finger vein recognition, the restoration of a skin scattered and optically blurred finger vein pattern was performed. Experimental results show that the equal error rate (EER) of finger vein recognition with restoration was reduced by as much as 3.14% (5.051.91%) compared to the EER without restoration.

Original languageEnglish
Pages (from-to)816-828
Number of pages13
JournalOptics and Lasers in Engineering
Volume49
Issue number7
DOIs
StatePublished - Jul 2011

Keywords

  • Biometrics
  • Finger vein recognition
  • Image restoration
  • Optical blurring
  • Skin scattering

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