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All Journal Indonesian Journal of Electronics and Instrumentation Systems GEMA TEKNOLOGI BERKALA FISIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS Jurnal Ilmu Lingkungan YOUNGSTER PHYSICS JOURNAL Jurnal Sistem Komputer Program Kreativitas Mahasiswa - Karsa Cipta International Journal of Artificial Intelligence Research Jurnal Penelitian Pendidikan IPA (JPPIPA) INDONESIAN JOURNAL OF APPLIED PHYSICS Journal of Physics and Its Applications Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian Vokasi
Jatmiko Endro Suseno
Department Of Physics, Faculty Of Science And Mathematics, Diponegoro University, Semarang
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Other

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Journal : Jurnal Sistem Komputer

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IDENTIFIKASI RETINA MATA MENGGUNAKAN JARAK EUCLIDEAN DENGAN PENCIRIAN MATRIKS KOOKURENSI ARAS KEABUAN (GRAY LEVEL CO-OCCURRENCE MATRIX-GLCM) Widiasmoro, Andi; Isnanto, R Rizal; Suseno, Jatmiko Endro
Jurnal Sistem Komputer Vol 6, No 1 (2016)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v6i1.105

Abstract

Retinal vascular pattern is very unique and has very good pattern differences between one individual and the others, so it can be argued that retinal image can be one of the best in the world of biometrics. This research create a system that can recognize retinal images using Gray Level Co-occurrence Matrix (GLCM) feature extraction technique and normalized Euclidean distance measurement techniques, which the image of the sample used was a normal retinal image of Messidor dataset. Based on testing of GLCM parameters (Angular Second Moment, Contrast, Entropy, and Inverse Difference Moment), distance, angle, and the number of images in the database, the largest accuracy of retinal image recognition is equal to 85% at the time of testing by using 45° angle, distance of 5 pixels, and an image in the database.
Co-Authors Achmad Supriyadi, Achmad Agus Setyawan Agus Subagio Agus Sulistiyo Agus Syafrudin Ainie Khuriati Ali Khumaeni Anak Agung Istri Sri Wiadnyani Andri Wibowo Ari Bawono Putranto Arlien Siswanti Asep Yoyo Wardaya Aulia, Thessa Putri Bayu Surarso Binu Soesanto, Qidir Maulana Catur Edi Widodo Dian Anggraini Djalal Er Riyanto Evi Setiawati Fatkhur Rohman Figur Humani Fitria L Giga Verian Pratama Glar Donia Deni Habib Sabil Rosyidi Hadi, Muhammad Rafli Irsyad Heri Sugito Hudzaifah Hazazi Zia Kusuma Humairoh Ratu Ayu I Gusti Ngurah Antaryama I Nyoman Sujana Ibnu Arimono Inayatul Inayah Irwan Agus Saputro Isnaeni Isnaeni Isnain Gunadi Isnain Gunadi K. Sofjan Firdausi Karyadi, Kukuh Kasto Wijoyo Teguh Guntoro Kusworo Adi Megarini Hersaputri Moch. Abdul Mukid Much. Azam Muchammad Azam, Muchammad Muhammad Hidayat Muhammad Nur Muhammad Nur Mustafid Mustafid Nurhady Mustofa Pandji Triadyaksa Prabowo, Muhammad Nur Priyono Priyono Puspita, Yuanita Candra Putra, Hisbicus Dwi Surya Putra, Satrio Sandi R Rizal Isnanto Ratna Dewi Winesthi Ratu Bilqis Redemtus Heru Tjahjana Reza Lutfi Ismai Rin Hafsahtul Asiah Rinaldo Turang, Rinaldo Ririn Sulpiani S. Suryono Sari, W.T. Satriyo Adhy Sela Ade Otaviana Sudarno Sudarno Sumariyah Sumariyah Suryono Suryono Susilo Hadi Susilo Hadi, Susilo Tomy Kusbramanto Udi Harmoko Widiasmoro, Andi Wiktasari Sari, Wiktasari Windarta, Jaka Yundari, Yundari Yurixa Sakhinatul Putri Yusup Hidayat Yuyu Wahyudin Zaenal Arifin Zaenul Muhlisin Zakiyyah, A.Z.