KLASIFIKASI CITRA TULISAN TANGAN AKSARA SASAK DENGAN METODE HISTOGRAM OF ORIENTED GRADIENTS DAN MULTINOMIAL LOGISTIC REGRESSION
نویسندگان
چکیده
Aksara Sasak adalah warisan budaya Lombok yang sangat penting untuk dilestarikan agar tidak punah diterpa perkembangan zaman. Paper ini mengusulkan perancangan model klasifikasi tulisan tangan karakter aksara menggunakan metode Histogram of Oriented Gradient (HOG) dan Multinomial Logistic Regression (MLR). Metode HOG digunakan melakukan ekstraksi fitur pada citra Sasak. dapat mendeskripsikan bentuk dari berdasarkan nilai orientasi gradiennya. Kemudian, MLR merupakan mengklasifikasikan hasil ciri. Dataset yaitu 1260 terdiri 70 sasak 18 karakter. Berdasarkan pengujian dilakukan maka didapatkan evaluasi akurasi, presisi, recal masing-masing sebesar 88%, 87%. Kemudian proses bounding box meningkatkan secara signifikan. Nilai ditingkatkan dengan menambah data set pelatihan model.
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ژورنال
عنوان ژورنال: JITET: Jurnal Informatika dan Teknik Elektro Terapan
سال: 2023
ISSN: ['2303-0577']
DOI: https://doi.org/10.23960/jitet.v11i3.3247