Hangul Character Recognition of A New Hangul Dataset with Vision Transformers Model

Hangul Character Recognition of A New Hangul Dataset with Vision Transformers Model

This study aims to develop a Vision Transformers (ViT) model for recognizing Korean characters (Hangeul) in response to the growing interest in learning the Korean language and Korean culture in Indonesia. The research methodology involves training the ViT model using a comprehensive dataset of 29,...

Full description

Saved in:
Bibliographic Details
Main Authors: Aurelia Shana, Sutramiani Ni Putu, Desy Purnami Singgih Putri
Format: Article
Language:English
Published: Institut Bisnis dan Teknologi Indonesia 2024-12-01
Series:SINTECH (Science and Information Technology) Journal
Subjects:
ViT
Hangul
Character
Recognition
Dataset
Online Access:https://ejournal.instiki.ac.id/index.php/sintechjournal/article/view/1677
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items