By Topic

A robust iris localization method of facial faces

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Cherabit, N. ; Speech Commun. & Signal Process. Lab., Univ. of Sci. & Technol. Houari Boumedienne, Algiers, Algeria ; Chelali, F.Z. ; Djeradi, A.

We present a fast method for locating iris features in frontal face images based on the Hough transform. The aim of this work is to detect the circles surrounding the exterior iris pattern from a set of facial images. The circular Hough transform is used for this purpose, a first edge detection technique is used for finding the edges in the input image. After the characteristics points of circles are detected and drawn this last on the original image then, the pattern of the iris is extracted.

Published in:

Multimedia Computing and Systems (ICMCS), 2011 International Conference on

Date of Conference:

7-9 April 2011