Jurnal Ilmiah Sinus
Vol 24, No 1 (2026): Vol. 24 No. 1, Januari 2026

A Learning Vector Quantization Approach to Handwritten Mandarin Numeral Recognition

Soniya, Septi Vera (Unknown)
Wahyu Utami, Yustina Retno (Unknown)
Wijayanto, Hendro (Unknown)



Article Info

Publish Date
06 Feb 2026

Abstract

Numbers 1 to 10 in Mandarin are also studied in the Mandarin language learning process as basic numbers. Mandarin numbers have a different shape from Arabic numbers and Roman numerals. So it is necessary to recognize the pattern of mandarin numbers to help the learning process of mandarin. Therefore, the purpose of this research is to build an application that applies the Learning Vector Quantization method for handwriting pattern recognition of Mandarin numbers. System testing methods used are Black Box and Confusion Matrix for accuracy testing methods. The application that has been made produces an accuracy of 92.80% with a total of 250 test data. Keyword: Learning Vector Quantization, Pattern Recognition, Mandarin Numbers.

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Journal Info

Abbrev

e-jurnal_SINUS

Publisher

Subject

Computer Science & IT

Description

Jurnal Ilmiah SINUS is a magazine published twice a year, wherein one issue there are seven articles. Jurnal Ilmiah SINUS as a communication medium to report the results of field research, library research, observations or opinions on problems arising related to the development of information ...