Iris Recognition-based Security System with Canny Filter
IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING,
2015, Volume 15, Issue 3, Pages 38-46
AbstractAbstract – Image identification plays a great role in industrial, remote sensing, and
military applications. It is concerned with the generation of a signature to the image.
The human iris recently has attracted of biometric-based identification and verification
research and development community. This iris is so unique that no two irises are alike,
even among identical twins in the entire human population.
In this work we propose a security system based on Iris biometric feature extraction.
The focus was on the eye image, which is devoid of the eyelid and eyelashes that is
done by using a camera which has the ability to show the iris with white background
(eye sclera) only, using a proper position of eye on camera. The system automatically
acquires the biometric data in numerical format (Iris images) by using a properly
located sensor. We are considering camera as a high quality sensor. Iris images are
typically color images that are analyzed to three bands monochrome images (Red,
Green, and Blue). Each band of monochrome image represents a grey scale image. Then
the feature extraction algorithm is used to detect Iris Effected Region (IER) for each
monochrome image, and then extract features from IER that are numerical
characterization of the underlying biometrics. Later we identify the authorized person
by comparing the features obtained from the feature extraction algorithm with the
previously stored features by producing a similarity score. This score indicates the
degree of similarity between a pair of biometrics data under consideration. Depending
on degree of similarity, authorized person can be identified.
A successful identification rate of 100% was achieved for ten person iris images.
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