Survey on Deep Learning-based Kuzushiji Recognition

TL;DR

This survey reviews recent advancements, challenges, and future directions in applying deep learning techniques to recognize Kuzushiji, a historical Japanese cursive script, highlighting progress made through competitions and research efforts.

Contribution

It provides a comprehensive overview of recent research trends, identifies current problems, and discusses future prospects in deep learning-based Kuzushiji recognition.

Findings

Deep learning has significantly improved Kuzushiji recognition accuracy.

Research trends show increasing use of deep learning models in this field.

Challenges include handling diverse handwriting styles and limited data.

Abstract

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 The high-precision detection and recognition of Kuzushiji, a Japanese cursive script used for transcribing historical documents, has been made possible through the use of deep learning.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.