Defocused iris image restoration based on spectral curve fitting

Huiying Ren, Yuqing He*, Siyuan Wang, Chunquan Gan, Jixing Wang

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

Despite the rapid development of iris image capturing system and recognition algorithms, defocused iris images occurs a lot due to the restriction of optical system's depth of field. To take advantage of the useful texture information for iris recognition in more unconstrained environment, we proposed a scheme for iris image deblurring based on fitting ellipse curve in the frequency spectral image. To get the parameters for Point Spread Function(PSF) initialization, we first calculate the frequency spectral image of defocused iris images, and then fit the ellipse with Hough Transform to get the defocus estimation. Blind deconvolution is chosen as the restoration method in which the PSF is refined through iteration. Experiments with both artificial data and real data are conducted and the results demonstrated the effectiveness of our method to restore defocused iris images.

Original languageEnglish
Title of host publicationBiometric Recognition - 8th Chinese Conference, CCBR 2013, Proceedings
Pages338-344
Number of pages7
DOIs
Publication statusPublished - 2013
Event2012 International Conference on Service-Oriented Computing, ICSOC 2012 - Jinan, China
Duration: 16 Nov 201317 Nov 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8232 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2012 International Conference on Service-Oriented Computing, ICSOC 2012
Country/TerritoryChina
CityJinan
Period16/11/1317/11/13

Keywords

  • Curve fitting
  • Defocus estimation
  • Image restoration
  • Iris recognition

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