Iris recognition using textural edgeness features

Authors

Saiyed Umer, Indian Statistical Institute, Kolkata
Bibhas Chandra Dhara, Jadavpur University
Bhabatosh Chanda, Indian Statistical Institute, Kolkata

Document Type

Conference Article

Publication Title

Smart Innovation, Systems and Technologies

Abstract

A method for feature extraction from an iris image based on the concept of textural edgeness is presented in this paper. Here for authentication purpose we have used two textural edgeness features namely: (1) a modified version of Gray Level Auto Correlation (GLAC) and (2) Scale Invariant Feature transform (SIFT) descriptors over dense grids in the image domain. Extensive experimental results using MMU1 and IITD iris databases demonstrate the effectiveness of the proposed system.

First Page

279

Last Page

288

DOI

10.1007/978-81-322-2538-6_29

Publication Date

1-1-2016

Recommended Citation

Umer, Saiyed; Dhara, Bibhas Chandra; and Chanda, Bhabatosh, "Iris recognition using textural edgeness features" (2016). Conference Articles. 733.
https://digitalcommons.isical.ac.in/conf-articles/733