# Survey on Deep Learning-based Kuzushiji Recognition

Source: [Survey on Deep Learning-based Kuzushiji Recognition](<https://www.sota2.com/research/paper/68fa67f21e209131cea194f5>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T22:25:59.816Z

Authors: Kazuya Ueki, Tomoka Kojima

Published: 2020-07-19T09:46:46.000Z

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 The high-precision detection and recognition of Kuzushiji, a Japanese cursive script used for transcribing historical documents, has been made possible through the use of deep learning.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

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2007.09637>)

[PDF](<https://arxiv.org/pdf/2007.09637.pdf>)