Image feature extraction for application of biometric identification of iris - a morphological approach

Abstract

This paper presents a new approach based on morphological operators for application of biometric identification of individuals by segmentation and analysis of the iris. Algorithms based on morphological operators are developed to segment the iris region from the eye image and also to highlight chosen iris patterns. The extracted features are used to represent and characterize the iris. In order to properly extract the desired patterns, an algorithm is proposed to produce skeletons with unique paths among end-points and nodes. The representation obtained by the morphological processing is stored for identification purposes. To illustrate the efficiency of the morphological approach some results are presented. The proposed system was derived to present low complexity implementation and low storage requirements.

UBIRIS: A Noisy Iris Image Database

“…Morphologic operators were applied by [21] to obtain iris borders. They detect the inner border by applying threshold, opening and image closing and the outer border with threshold, closing and opening sequence.…”

Graphing emotional patterns by dilation of the iris in video sequences

“…Once detected the pupil, algorithms are used to fill the pupil, through the closure operation (5) [5] [12].…”

Iris based human identification using median and gaussian filter

“…Mira, and J. Mayer [7] on the other hand have applied the morphologic operators to obtain iris borders. They have detected the inner border if iris by applying threshold, opening and image closing and the outer border with threshold, closing and opening sequence.…”