Survey on Deep Learning-based Kuzushiji Recognition
It addresses the problem of transcribing historical Japanese documents for researchers and archivists, but is incremental as it reviews existing trends rather than proposing new solutions.
This survey examines the application of deep learning to recognize Kuzushiji, a Japanese cursive script in historical documents, highlighting high-precision detection and recognition enabled by these methods.
Owing to the overwhelming accuracy of the deep learning method demonstrated at the 2012 image classification competition, deep learning has been successfully applied to a variety of other tasks. The high-precision detection and recognition of Kuzushiji, a Japanese cursive script used for transcribing historical documents, has been made possible through the use of deep learning. In recent years, competitions on Kuzushiji recognition have been held, and many researchers have proposed various recognition methods. This study examines recent research trends, current problems, and future prospects in Kuzushiji recognition using deep learning.