Contact lens classification by using segmented lens boundary features

• Main Authors: Mohd. Zin, Nur Ariffin, Asmuni, Hishammuddin, Abdul Hamed, Haza Nuzly, M. Othman, Razib, Kasim, Shahreen, Hassan, Rohayanti, Zakaria, Zalmiyah, Roslan, Rosfuzah
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/84567/1/HishammuddinAsmuni2018_ContactLensClassificationbyUsingSegmentedLens.pdf; http://eprints.utm.my/id/eprint/84567/; http://ijeecs.iaescore.com/index.php/IJEECS/article/view/13470
• Institution: Universiti Teknologi Malaysia

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 identi...