Contact lens classification by using segmented lens boundary features
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 iden...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2018
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/4695/1/AJ%202018%20%28443%29.pdf |
| _version_ | 1796869067580112896 |
|---|---|
| author | Mohd Zin, Nur Ariffin Asmuni, Hishammuddin Abdul Hamed, Haza Nuzly M. Othman, Razib Kasim, Shahreen Hassan, Rohayanti Zakaria, Zalmiyah Roslan, Rosfuzah |
| author_facet | Mohd Zin, Nur Ariffin Asmuni, Hishammuddin Abdul Hamed, Haza Nuzly M. Othman, Razib Kasim, Shahreen Hassan, Rohayanti Zakaria, Zalmiyah Roslan, Rosfuzah |
| author_sort | Mohd Zin, Nur Ariffin |
| collection | UTHM |
| description | 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 |
| first_indexed | 2024-03-05T21:49:16Z |
| format | Article |
| id | uthm.eprints-4695 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:49:16Z |
| publishDate | 2018 |
| publisher | Institute of Advanced Engineering and Science |
| record_format | dspace |
| spelling | uthm.eprints-46952021-12-14T08:18:09Z http://eprints.uthm.edu.my/4695/ Contact lens classification by using segmented lens boundary features Mohd Zin, Nur Ariffin Asmuni, Hishammuddin Abdul Hamed, Haza Nuzly M. Othman, Razib Kasim, Shahreen Hassan, Rohayanti Zakaria, Zalmiyah Roslan, Rosfuzah T Technology (General) TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television 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 Institute of Advanced Engineering and Science 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/4695/1/AJ%202018%20%28443%29.pdf 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 http://dx.doi.org/10.11591/ijeecs.v11.i3.pp1129-1135 |
| spellingShingle | T Technology (General) TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Mohd Zin, Nur Ariffin Asmuni, Hishammuddin Abdul Hamed, Haza Nuzly M. Othman, Razib Kasim, Shahreen Hassan, Rohayanti Zakaria, Zalmiyah Roslan, Rosfuzah Contact lens classification by using segmented lens boundary features |
| title | Contact lens classification by using segmented lens boundary features |
| title_full | Contact lens classification by using segmented lens boundary features |
| title_fullStr | Contact lens classification by using segmented lens boundary features |
| title_full_unstemmed | Contact lens classification by using segmented lens boundary features |
| title_short | Contact lens classification by using segmented lens boundary features |
| title_sort | contact lens classification by using segmented lens boundary features |
| topic | T Technology (General) TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television |
| url | http://eprints.uthm.edu.my/4695/1/AJ%202018%20%28443%29.pdf |
| work_keys_str_mv | AT mohdzinnurariffin contactlensclassificationbyusingsegmentedlensboundaryfeatures AT asmunihishammuddin contactlensclassificationbyusingsegmentedlensboundaryfeatures AT abdulhamedhazanuzly contactlensclassificationbyusingsegmentedlensboundaryfeatures AT mothmanrazib contactlensclassificationbyusingsegmentedlensboundaryfeatures AT kasimshahreen contactlensclassificationbyusingsegmentedlensboundaryfeatures AT hassanrohayanti contactlensclassificationbyusingsegmentedlensboundaryfeatures AT zakariazalmiyah contactlensclassificationbyusingsegmentedlensboundaryfeatures AT roslanrosfuzah contactlensclassificationbyusingsegmentedlensboundaryfeatures |