Alphabet Writing Game Application using Template Matching Cross-correlation

  • I Made Pegi Kurnia Amerta Teknik Informatika Universitas Udayana
  • I Gede Arta Wibawa


The game of writing letters is an attractive learning media. Each person's handwriting is different. So that it requires a data classification method to match the test data with the template that is the alphabet letter. In this journal using a template matching cross-correlation for data classification. Before data classification, preprocessing is done in the form of resize and threshold to produce binary images. Thinning process is also carried out to thin the letters. The thinning algorithm used is stentiford. From the accuracy testing obtained an average value of 70.38%. With the number of letters that continue to experience errors namely the characters H, K, M, and Y.


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How to Cite
KURNIA AMERTA, I Made Pegi; ARTA WIBAWA, I Gede. Alphabet Writing Game Application using Template Matching Cross-correlation. JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), [S.l.], v. 8, n. 4, p. 393-399, feb. 2020. ISSN 2654-5101. Available at: <>. Date accessed: 14 july 2024. doi:

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