Create a mobile application leveraging TensorFlow that will recognize and translate handwritten Korean characters - 텐서플로우와 왓슨 번역 서비스를 활용해 안드로이드에서 한글 모바일 손글씨를 인식하고 번역한 사례

 

Create a mobile application leveraging TensorFlow that will recognize and translate handwritten Korean characters

텐서플로우와 왓슨 번역 서비스를 활용해 안드로이드에서 한글 모바일 손글씨를 인식하고 번역한 사례입니다.

 

https://developer.ibm.com/code/patterns/create-mobile-handwritten-hangul-translation-app/

 

 

 

 

흐름도

 

1	The user downloads several Korean fonts to use for data generation.
2	The images generated from the fonts are fed into a TensorFlow model for training.
3	The user draws a Korean character on their Android device.
4	The drawn character is recognized by using the previously trained TensorFlow model and the Android TensorFlow Inference interface.
5	A string of the classified Korean characters is sent to the Watson Language Translator service to retrieve an English translation.

 

 

 

TensorFlow Hangul Recognition

https://www.youtube.com/watch?v=Ynusw4RcyRY

13m 8s

 

 

 

github

https://github.com/IBM/tensorflow-hangul-recognition