PENGENALAN IRIS MATA MENGGUNAKAN METODE  TEMPLATE MATCHING CORRELATION

Sayuti Rahman; Ulfa Sahira

doi:10.36294/jurti.v2i2.424

PENGENALAN IRIS MATA MENGGUNAKAN METODE TEMPLATE MATCHING CORRELATION

Sayuti Rahman, Ulfa Sahira

Abstract

Abstract - Biometrics is the study of automatic methods for recognizing humans based on one or more parts of the human body that are unique. One human characteristic that can be used is iris, iris features can be used as distinguishing characteristics with other individuals. The stage that the writer did to be able to recognize the iris pattern of someone's eye in a digital image was the pre-processing stage, the template saving stage and the matching stage. In this study the author applies the template matching method to store the image into a template image stored in the database and the algorithm correlation coefficient for the characteristic matching algorithm between template data and test data. The application is designed using the Matlab R2010a programming language. The results of testing 22 images obtained by the percentage of system success was 86.36%. Keywords - Iris, Template Matching, Correlation Coefficient

Full Text:

PDF

References

S. Rahman and M. Ulfayani.T, “Perancangan Aplikasi Identifikasi Biometrika Telapak Tangan Menggunakan Metode Freeman Chain Code,” CESS (Journal Comput. Eng. Syst. Sci., vol. 2, no. 2, pp. 64–73, 2017.

I. Hermawan, “Rancang Bangun Sistem Pendeteksi dan Pengenalan Angka Pada Meteran Air PDAM Menggunakan Metode Template Matching Correlation,” J. Teknol. Terpadu, vol. 1, no. 2, pp. 55–61, 2015.

E. Yuliansyah, R. Magdalena.M.T, and Estananto, “Sistem Identifikasi Iris Mata Dengan Indefendent Component Analysis Dan Klasifikasi K-Nearest Neighbor,” e-Proceeding Eng., vol. 4, no. 2, pp. 1810–1815, 2017.

RumahBelajar, “Digital Image Sensor,” 2013. [Online]. Available: http://www.rumah-belajar.org.

J. Laseduw, “Pencegah Penyakit Katarak,” 2013. [Online]. Available: 111http://necturajuice.com.

P. Hidayatullah, Pengolahan Citra Digital Teori Dan Aplikasi Nyata. Bandung: Informatika, 2017.

F. Mahardika, K. Agus.Purwanto, and D. Intan.Surya.Saputra, “Implementasi Metode Waterfall Pada Proses Digitalisasi Citra Analog,” J. Ilm. Pendidik. Tek. Elektro, vol. 2, no. 1, pp. 63–72, 2016.

Dhanarful, “Pengenalan Pola,” 2015. [Online]. Available: http://slideshare.net/education/dhanarful/pengenalan pola-part-2.

D. Putra, Pengolahan Citra Digital. Yogyakarta: ANDI, 2010.

Pelajarindo, “Simbol Flowchart,” 2017. [Online]. Available: http://pelajarindo.com.

E. Amri.jaya, “Perancangan Sistem Informasi Persediaan Stock Farfum Dengan Menggunakan Bahasa Pemrograman Visual Basic.net Dan Database Access Pada Toko Gofha Perfume,” J. Sains dan Teknol., vol. 16, no. 1, pp. 114–186, 2016.

L. Hakim, M. Imron.Rosadi, and R. Hadi.Prayoga, “Deteksi Lokasi Citra Iris Menggunakan Threshold Linear Dan Garis Horisontal Imajiner,” Semin. Nas. Teknol. Informasi, Komun. dan Apl., vol. 4, 2017.

Andriana and Zulkarnain, “Aplikasi Biometrik untuk Identifikasi Iris Menggunakan Glcm (Gray Level Co Matrix) dan Hough Transform,” J. Ilmu-ilmu Sos. Hum. Univ. Langlangbuana, vol. XVI, 2014.

T. Tri.Pamungkas, R. Rizal.Isnanto, and A. Ajulian.Zahra, “Pengenalan Plat Nomor Kendaraan Menggunakan Metode Template Matching Dan Jarak Canberra,” TRANSIENT, vol. 3, no. 2, pp. 166–173, 2014.

DOI: https://doi.org/10.36294/jurti.v2i2.424