Studi Analisis Pengenalan Pola Tulisan Tangan Angka Arabic (Indian) menggunakan Metode K- Nearest Neighbors dan Connected Component Labeling
Abstract: Handwriting refers
to the result of writing by hand (not typed). The writing style of people are
not the same. One of the United Nations official languages, Arabic, has a
numerical system known as Arabic (Indian) numeral. The identification of feature
help humans to be able distinguish the patterns. The grouping patterns can be
applied to the machine for recognizing object in the image. Connected component
labeling is used for separating characters to be easily recognizable. K-
nearest neighbors is used to find the similarity value between query image and
template images are based on the nearest neighbors class. This analytical study
was tested using 100 test images. The top three classification results of
Arabic (Indian) handwritten recognition use k- nearest neighbors (KNN) are 86% when k = 1, 84% when k = 3, and
83% with k = 5.
Keywords: Pengenalan Pola,
Tulisan Tangan, Angka Arabic (Indian), Connected Component Labeling, K- Nearest
Neighbors
Penulis: Roni Akbar, Eko Adi
Sarwoko
Kode Jurnal: jptindustridd160394
