Identifikasi Tulisan Tangan Huruf Katakana Jepang Dengan Metode Euclidean

Imam Riadi(1*), Abdul Fadlil(2), Putri Annisa(3),

(1) Program Studi Sistem Informasi, Universitas Ahmad Dahlan
(2) Program Studi Teknik Elektro, Universitas Ahmad Dahlan
(3) Program Studi Magister Teknik Informatika, Universitas Ahmad Dahlan
(*) Corresponding Author

Abstract


Katakana is one of the traditional Japanese letters used to absorption words from other languanges. In the inttroduction of an object a learning process is needed, which is obtained through the characteristics and experience of observing similar objects after being acquired. But manually it is quite difficult to distinguish between 5 hiragana vowels starting from the image data acquisition process, image processing, feature extraction using Gray Level Co-occurance Matrix (GLCM) while classifiers use the euclidean distance method. The results of the tests carried out showed an accuracy rate of around 78% using the euclidean method.

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References


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DOI: http://dx.doi.org/10.30645/j-sakti.v4i1.184

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