The Challenges of Recognizing Offline Handwritten Chinese: A Technical Review

Offline handwritten Chinese recognition is an important research area of pattern recognition, including offline handwritten Chinese character recognition (offline HCCR) and offline handwritten Chinese text recognition (offline HCTR), which are closely related to daily life. With new deep learning te...

Full description

Saved in:
Bibliographic Details
Published in:Applied sciences 2023-03, Vol.13 (6), p.3500
Main Authors: Shen, Lu, Chen, Bidong, Wei, Jianjing, Xu, Hui, Tang, Su-Kit, Mirri, Silvia
Format: Article
Language:English
Subjects:
Automation
Character recognition
connectionist temporal classification
convolutional neural network
Datasets
Deep learning
Handwriting
Handwriting recognition
handwritten Chinese recognition
Information industry
Information processing
long short-term memory
Pattern recognition
recurrent neural network
Research methodology
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Offline handwritten Chinese recognition is an important research area of pattern recognition, including offline handwritten Chinese character recognition (offline HCCR) and offline handwritten Chinese text recognition (offline HCTR), which are closely related to daily life. With new deep learning techniques and the combination with other domain knowledge, offline handwritten Chinese recognition has gained breakthroughs in methods and performance in recent years. However, there have yet to be articles that provide a technical review of this field since 2016. In light of this, this paper reviews the research progress and challenges of offline handwritten Chinese recognition based on traditional techniques, deep learning methods, methods combining deep learning with traditional techniques, and knowledge from other areas from 2016 to 2022. Firstly, it introduces the research background and status of handwritten Chinese recognition, standard datasets, and evaluation metrics. Secondly, a comprehensive summary and analysis of offline HCCR and offline HCTR approaches during the last seven years is provided, along with an explanation of their concepts, specifics, and performances. Finally, the main research problems in this field over the past few years are presented. The challenges still exist in offline handwritten Chinese recognition are discussed, aiming to inspire future research work.
ISSN:2076-3417
2076-3417
DOI:10.3390/app13063500