Title :
A review on Iris Recognition
Author :
Kaur, Navjot ; Juneja, Mamta
Author_Institution :
Comput. Sci. & Eng., Panjab Univ., Chandigarh, India
Abstract :
Iris Recognition has gained a great attention in various fields like industrial areas, security prone areas, border areas and medical institutes etc. Due to its high accuracy and uniqueness, it is used in various fields of access control and security at border areas. The demand for iris recognition is increasing day by day due to its reliability, accuracy and uniqueness. It is the most powerful identification feature among all other biometric features as human iris remains unchanged during whole of the life. For efficient functioning of iris recognition system, researchers have to work on various challenges like images taken in unconstrained environment, noisy images, blurred images and many more. The goal of this review paper is to discuss steps involved in iris recognition system and various techniques used by different researchers for each recognition step.
Keywords :
feature extraction; iris recognition; biometric features; blurred images; feature extraction; human iris; iris recognition; noisy images; unconstrained environment; Accuracy; Feature extraction; Image edge detection; Image segmentation; Iris; Iris recognition; Transforms; Acquisition; Feature Extraction and Matching; Iris Recognition; Localization;
Conference_Titel :
Engineering and Computational Sciences (RAECS), 2014 Recent Advances in
Conference_Location :
Chandigarh
Print_ISBN :
978-1-4799-2290-1
DOI :
10.1109/RAECS.2014.6799603