Iris Recognition System Using Gabor Filters and Wavelets in Matlab
Maurine Ibardeloza, Rose Ann Lucena, Yerushalayim Naling, Engr. Rionel Caldo
Abstract
Iris pattern Recognition is an automated method of
biometric identification that uses mathematical pattern-Recognition techniques on images of one or both of the irises of an
individual's eyes, whose complex random patterns are unique,
stable, and can be seen from some distance. Iris recognition uses
video camera technology with subtle near infrared illumination to
acquire images of the detail-rich, intricate structures of the iris
which are visible externally. In this research paper the input image
is captured and the success of the iris recognition depends on the
quality of the image so the captured image is subjected to the
preliminary image pre-processing techniques like localization,
segmentation, normalization and noise detection followed by
texture and edge feature extraction by using Gabor filters and
wavelets then the processed image is matched with templates stored
in the database to detect the Iris Patterns.
Keywords— Matlab, Gabor filters and Wavelets, Iris Recognition,
Iris Localization, Feature Extraction