Robust mean super-resolution for less cooperative NIR iris recognition at a distance and on the move

  • Authors:

  • Kien Nguyen;Clinton Fookes;Sridha Sridharan

  • Affiliations:

  • Queensland University of Technology, Brisbane, Queensland, Australia;Queensland University of Technology, Brisbane, Queensland, Australia;Queensland University of Technology, Brisbane, Queensland, Australia

  • Venue:
  • Proceedings of the 2010 Symposium on Information and Communication Technology
  • Year:
  • 2010

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Abstract

Less cooperative iris identification systems at a distance and on the move often suffers from poor resolution. The lack of pixel resolution significantly degrades the iris recognition performance. Super-resolution has been considered to enhance resolution of iris images. This paper proposes a pixelwise super-resolution technique to reconstruct a high resolution iris image from a video sequence of an eye. A novel fusion approach is proposed to incorporate information details from multiple frames using robust mean. Experiments on the MBGC NIR portal database show the validity of the proposed approach in comparison with other resolution enhancement techniques.