Handwritten Korean Character Recognition with TensorFlow and Android
-
Updated
Jan 6, 2022 - Python
Handwritten Korean Character Recognition with TensorFlow and Android
Korean Alphabet Transcription
Amazfit Bip Korean Firmware and tools for making it
Convert Sino-Korean words written in Hangul to Chinese characters, which is called hanja in Korean, using neural networks
A library to compose and decompose Hangul syllables using Hangul jamo characters
A library for Korean Jamo split and vectorize.
Unicode normalization forms (NFC, NFKC, NFD, NFKD). A library independent of the Python core Unicode database. This library supports version 16.0 of the Unicode Standard.
파이썬으로 만든 한자(漢字)를 한글로 또는 국한문혼용(國漢文混用)으로 쓰여 있는 글을 한글전용으로 변환하는 모듈입니다. Python module to convert hanja(chinese characters) to hangul.
Korean Obfuscation ToolKit Advanced
Machine printed Hangul recognition based on CRNN
Python (currently tested against Python 2.7, Python 3.6, Python 3.7, Python 3.8, Python 3.9, Python 3.10, PyPy 2.7 and PyPy 3.7) classes and functions for working with Unicode® data. Based on v13.0.0 of the Unicode® Character Database (UCD).
Single Shot Classifier for Hangul Classfication
Add a description, image, and links to the hangul topic page so that developers can more easily learn about it.
To associate your repository with the hangul topic, visit your repo's landing page and select "manage topics."