Japanese Hiragana Handwriting Pattern Recognition Using Template Matching Correlation Method
Riadi Imam
Primary Author
mixed material
bibliography
Purwokerto
Universitas Muhammadiyah Purwokerto
2021
e
English
hlm : 1-8
JUITA : Jurnal Informatika
Abstract
Hiragana is one of the traditional Japanese letters used to translate native Japanese words. The introduction of an object requires a learning process, which is obtained through the characteristic in the form of unique features on similar objects, but manually it is quite difficult to distinguish these letters. This writing explains the discussion system to differentiate between hiragana letters starting from preprocess namely grayscale and threshold, then segmenting and normalization, while image classification uses the Template Matching Correlation method. The results of tests carried out assessing the test rate of around 76% using the Matching Template Correlation method. While the remaining 14% indicates that the object identified does not match the intended results.
Informatika
JUITA
20869398
Perpustakaan Teknik UPI YAI
JUITA V9N1 Mei 2021
JUITA5a-001
Perpustakaan FT UPI YAI
JUITA V9N1 Mei 2021
JUITA5b-001
Perpustakaan FT UPI YAI
JUITA V9N1 Mei 2021
JUITA5c-001
Perpustakaan FT UPI YAI
JUITA V9N1 Mei 2021
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2022-12-08 14:21:30
2023-01-12 14:19:36
machine generated