• Users Online: 378
  • Print this page
  • Email this page
Year : 2013  |  Volume : 3  |  Issue : 4  |  Page : 244-255

Shape adaptive, robust iris feature extraction from noisy iris images

Department of Telecommunication Engineering, Shiraz University of Technology, Shiraz, Iran

Correspondence Address:
Hamed Ghodrati
Department of Telecommunication Engineering, Shiraz University of Technology, Shiraz
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/2228-7477.128333

Rights and Permissions

In the current iris recognition systems, noise removing step is only used to detect noisy parts of the iris region and features extracted from there will be excluded in matching step. Whereas depending on the filter structure used in feature extraction, the noisy parts may influence relevant features. To the best of our knowledge, the effect of noise factors on feature extraction has not been considered in the previous works. This paper investigates the effect of shape adaptive wavelet transform and shape adaptive Gabor-wavelet for feature extraction on the iris recognition performance. In addition, an effective noise-removing approach is proposed in this paper. The contribution is to detect eyelashes and reflections by calculating appropriate thresholds by a procedure called statistical decision making. The eyelids are segmented by parabolic Hough transform in normalized iris image to decrease computational burden through omitting rotation term. The iris is localized by an accurate and fast algorithm based on coarse-to-fine strategy. The principle of mask code generation is to assign the noisy bits in an iris code in order to exclude them in matching step is presented in details. An experimental result shows that by using the shape adaptive Gabor-wavelet technique there is an improvement on the accuracy of recognition rate.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded18    
    Comments [Add]    

Recommend this journal