Fourier Descriptor on Lontara Scripts Handwriting Recognition
نویسندگان
چکیده
Hal yang kritis dalam proses pengenalan pola adalah ekstraksi fitur. Merupakan suatu metode untuk mendapatkan ciri-ciri citra (image) sehingga dapat dikenali satu sama lain. Pada penelitian ini, deskriptor Fourier digunakan mengekstraksi aksara Lontara terdiri dari 23 huruf. Deskriptor objek dan pemrosesan merepresentasikan bentuk batas segmen citra. Pengenalan karakter dilakukan dengan menggunakan jarak Euclidean Manhattan. Hasil pengujian menunjukkan bahwa tingkat tertinggi mencapai akurasi 91,30% koefisien sebesar 50. huruf Manhattan cenderung atau menghasilkan serupa. Akurasi dicapai saat 91,30%.
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ژورنال
عنوان ژورنال: Ilkom Jurnal Ilmiah
سال: 2023
ISSN: ['2087-1716', '2548-7779']
DOI: https://doi.org/10.33096/ilkom.v15i1.1040.193-200