Tamtama, Gabriel Indra Widi (2020) TEKNIK DEEP LEARNING UNTUK PENGENALAN IRIS MATA DAN DETEKSI PENYAKIT. S2 thesis, UNIVERSITAS ATMA JAYA YOGYAKARTA.
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Abstract
Each person's eyes are different from each other's even identical twins and have complex structures. In the field of biometrics, iris brings very important information relating to health and other information. The purpose of this study was to detect the possibility of health problems experienced by patients based on the recognition of the iris. Digestive disorders, cholesterol, and stress are case studies of research taken. The iris recognition method uses a deep learning algorithm approach with a convolutional neural network architecture. The technique will be used to recognize the iris, then classified based on the labeling that has been done and confirmed the accuracy by doctors who are experienced in iridology. The use of deep learning techniques in this study provides the highest level of accuracy of 81.92%.
| Item Type: | Thesis (S2) |
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| Uncontrolled Keywords: | iridology, deep learning, biometrics, convolutional neural network, iris. |
| Subjects: | Magister Teknik Informatika > Inovation of Computational Science |
| Divisions: | Fakultas Teknologi Industri > Teknik Informatika |
| Depositing User: | Editor UAJY |
| Date Deposited: | 17 Sep 2021 09:48 |
| Last Modified: | 17 Sep 2021 09:48 |
| URI: | http://e-journal.uajy.ac.id/id/eprint/24766 |
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