Contact lens classification by using segmented lens boundary features

Mohd Zin, Nur Ariffin and Asmuni, Hishammuddin and Abdul Hamed, Haza Nuzly and M. Othman, Razib and Kasim, Shahreen and Hassan, Rohayanti and Zakaria, Zalmiyah and Roslan, Rosfuzah (2018) Contact lens classification by using segmented lens boundary features. Indonesian Journal of Electrical Engineering and Computer Science, 11 (3). pp. 1129-1135. ISSN 2502-4752

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A 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

Item Type: Article
Uncontrolled Keywords: Contact lens classification; Local descriptor; Support Vector Machines
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Computer Science and Information Technology > Department of Software Engineering
Depositing User: UiTM Student Praktikal
Date Deposited: 14 Dec 2021 08:18
Last Modified: 14 Dec 2021 08:18

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