Robust mean super-resolution for less cooperative NIR iris recognition at a distance and on the move
Nguyen Thanh, Kien, Fookes, Clinton B., & Sridharan, Sridha (2010) Robust mean super-resolution for less cooperative NIR iris recognition at a distance and on the move. In SoICT '10 Proceedings of the 2010 Symposium on Information and Communication Technology, ACM, Hanoi University of Technology, Hanoi, pp. 122-127.
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.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Keywords:||iris recognition, super-resolution, robust mean, MBGC, iris at a distance and on the move|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
|Deposited On:||23 Mar 2011 22:49|
|Last Modified:||23 Jul 2012 23:48|
Repository Staff Only: item control page