NDLI: Efficient approach for non-ideal iris segmentation using improved particle swarm optimisation-based multilevel thresholding and geodesic active contours

Content Provider	IET Digital Library
Author	Rapaka, Satish Kumar, Pullakura Rajesh
Abstract	Segmentation is an important step in iris recognition framework because the accuracy of the iris recognition system is affected by the segmentation of the iris. The image acquisition introduces noise artefacts such as specular reflections, eyelids/eyelashes occlusions and overlapping intensities, which makes the segmentation process difficult. An efficient method has been proposed for the segmentation of iris images that deal with non-circular iris boundaries and other noise artefacts mentioned above. The proposed method uses the Otsu multilevel thresholding based on improved particle swarm optimisation technique as a pre-segmentation step. Pre-segmentation step delimits the iris region from the other parts of an eye image. The geodesic active contours incorporated with a novel stopping function is then used to segment non-circular iris boundaries. The recognition accuracy of the proposed method is verified using the standard databases, CASIA v3 Interval and UBIRISv1. Obtained results have been compared with existing methods and have an encouraging performance.
Starting Page	1721
Ending Page	1729
Page Count	9
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 10, Oct (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.0917
Journal	IET Image Processing
Publisher Date	2018-04-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Efficient Approach Eye Image Eyelids/eyelashes Occlusions Feature Extraction Geodesic Active Contours Image Acquisition Image Recognition Image Segmentation Improved Particle Swarm Optimisation Technique Iris Image Iris Recognition Iris Recognition Framework Iris Recognition System Iris Region Medical Image Processing Noise Artefacts Nonideal Iris Segmentation Optical, Image And Video Signal Processing Otsu Multilevel Thresholding Overlapping Intensities Particle Swarm Optimisation Pre-segmentation Step Recognition Accuracy Segment Noncircular Iris Boundaries Segmentation Process
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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