PENGENALAN POLA KARAKTER PLAT NOMOR KENDARAAN MENGGUNAKAN ALGORITMA MOMENTUM BACKPROPAGATION NEURAL NETWORK
Abstract
Peningkatan jumlah kendaraan bermotor yang terus terjadi di Indonesia tiap tahunnya, membuat kebutuhan akan sistem yang mampu mengidentifikasi kendaraan secara otomatis atau sering disebut Sistem Lalu Lintas Cerdas juga ikut meningkat.Sistem ini dapat digunakan antara lain untuk menemukan kendaraan yang dicuri, pembayaran tiket parkir otomatis, dan menindak para pelanggar lampu merah. Kemampuan utama dari sistem tersebut adalah pengenalan plat nomor.Pada penelitian kali ini akan digunakan metode Momentum Backpropagation Neural Network untuk mengenali karakter dari suatu citra plat nomor kendaraan di Indonesia. Namun sebelumnya, citra plat nomor akan diubah menjadi citra biner. Citra biner kemudian disegmentasi untuk mengisolasi karakter-karakter yang akan dikenali. Terakhir dimensi citra hasil segmentasi akan direduksi menggunakan Haar Wavelet.Uji coba pada penelitian kali ini melibatkan 276 karakter yang terdiri dari huruf dan angka pada plat nomor kendaraan di Indonesia. Hasil uji coba menunjukkan 268 karakter diantaranya mampu dikenali dengan benar. Dengan kata lain metode yang digunakan memiliki tingkat akurasi hingga 97,10%.
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DOI: http://dx.doi.org/10.26555/jifo.v10i1.a3352
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