NDLI: RANSAC lens boundary feature based kernel SVM for transparent contact lens detection

Content Provider	IET Digital Library
Author	Kumar, Mohit Puhan, Niladri B.
Abstract	Transparent contact lens spoofing has been demonstrated to hamper the overall performance of an iris recognition system. Achieving high detection accuracy with transparent lens is quite challenging using iris texture analysis based techniques. In this regard, the authors propose a supervised learning based transparent lens detection method by designing a novel set of features to describe the faint lens boundary. The input image is first segmented for extracting salient edge points in the sclera region of interest. RANSAC algorithm then performs circle fitting to generate the set of R-points for feature computation. The novel features such as concentricity parameter, R-point count, R-point intensity, R-circle radius, R-cluster count and circle genuineness are associated with distinctive range of values for each class. Experimental results obtained using the kernel-support vector machine (SVM) classifier show that the proposed method can achieve higher average detection accuracy as compared to state-of-the-art techniques: 90.63% (NotreDame I), 84.5% (NotreDame II), 83% (IIIT-D Cogent) and 86.27% (IIIT-D Vista).
Starting Page	177
Ending Page	184
Page Count	8
ISSN	20474938
Volume Number	8
e-ISSN	20474946
Issue Number	Issue 3, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/8/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2017.0161
Journal	IET Biometrics
Publisher Date	2018-02-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Contact Lenses Feature Extraction Image Classification Image Recognition Image Segmentation Image Texture Iris Recognition Iris Recognition System Iris Texture Analysis Based Technique Kernel-support Vector Machine Knowledge Engineering Technique Learning in AI RANSAC Algorithm RANSAC Lens Boundary Feature Supervised Learning Support Vector Machine Transparent Contact Lens Detection Transparent Lens Detection Method
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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