IDENTIFIKASI CITRA IRIS MATA MENGGUNAKAN METODE MULTI TRESHOLDING DAN ALGORITMA MULTI SUPPORT VECTOR MACHINE (SVM)

• NISSA ALMIRA MAYANGKY
• 14002232

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ABSTRAK

ABSTRAK

 

 

Nama               : Nissa Almira Mayangky

NIM                : 14002234

Program Studi : Ilmu Komputer

Jenjang            : Strata Dua (S2)

Konsentrasi     : Image Processing

Judul               : “Identifikasi Citra Iris Mata Menggunakan Metode Multi

    Tresholding Dan Algoritma Multi Support Vector Machine  

    (SVM)”

 

Identifikasi pengguna memiliki hak akses ke dalam sistem dengan mengisi nama dan kata sandi mudah untuk diprediksi, sehingga memungkinkan disalah gunakan oleh pihak ketiga, adanya latar belakang inilah yang membuat sistem biometrik digunakan. Biometrik adalah sistem identifikasi yang digunakan untuk menganalisa karakteristik fisik dan perilaku dengan teknologi optimal, Salah satu karakteristik fisiologis yang dapat dikembangkan yaitu  iris. Iris merupakan organ internal yang stabil, aman dan terlindungi dengan baik, iris dari dua orang kembar identikpun berbeda, memiliki struktur fisik yang kaya dan dapat menyediakan banyak data. Pada penelitian ini digunakan metode Multi Tresholding sebagai segmentasi dan Support Vector Machine (SVM) sebagai metoda Identifikasi. Hasil yang diperoleh dari penelitian ini yaitun akurasi sebesar 93.75% dengan parameter penggunaan lima ciri pada ekstraksi ciri orde pertama yaitu Mean, Variance, Skewness, Kurtosis, dan Entropy. Dari hasil penelitian yang telah dilakukan, sistem yang telah dibuat mampu mengidentifikasi seseorang melalui iris.

Kata Kunci : Biometrik, Identifikasi, Iris, Multi Tresholidng, Multi SVM

KATA KUNCI

Metode Multi Tresholding,Algoritma Multi Support Vector Machine

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DAFTAR PUSTAKA

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