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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Haza Nuzly Abdul Hamed
Universiti Teknologi Malaysia

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Contact Lens Classification by Using Segmented Lens Boundary Features Nur Ariffin Mohd Zin; Hishammuddin Asmuni; Haza Nuzly Abdul Hamed; Razib M. Othman; Shahreen Kasim; Rohayanti Hassan; Zalmiyah Zakaria; Rosfuzah Roslan
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i3.pp1129-1135

Abstract

Recent studies have shown that the wearing of soft lens may lead to performance degradation with the increase of false reject rate. However, detecting the presence of soft lens is a non-trivial task as its texture that almost indiscernible. In this work, we proposed a classification method to identify the existence of soft lens in iris image. Our proposed method starts with segmenting the lens boundary on top of the sclera region. Then, the segmented boundary is used as features and extracted by local descriptors. These features are then trained and classified using Support Vector Machines. This method was tested on Notre Dame Cosmetic Contact Lens 2013 database. Experiment showed that the proposed method performed better than state of the art methods.
Co-Authors Hishammuddin Asmuni Nur Ariffin Mohd Zin Razib M. Othman Rohayanti Hassan Rosfuzah Roslan Shahreen Kasim Zalmiyah Zakaria