Reconstructing strokes and writing sequences from chinese character images

Kai-Tai Tang; Howard Leung

doi:10.1109/ICMLC.2007.4370133

Reconstructing strokes and writing sequences from chinese character images

Kai-Tai Tang
, Howard Leung

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

4 Citations (Scopus)

Abstract

The Chinese characters evolved from pictograms and they are composed of strokes. A standard stroke sequence for each character is available in the dictionary. People introduced heuristic rules to specify the stroke order for easy memorization but it is very ambiguous to reconstruct the dictionary sequence according to the heuristic rules. In this paper, we combine the stroke extraction and stroke sequence reconstruction algorithms to reconstruct the strokes and their sequence from a Chinese character image. A well-known public Chinese character database (the HITPU database) is used as our input data. Performance evaluation shows the robustness of our proposed method and user evaluation shows that our proposed system helps users to create online Chinese character templates quickly and conveniently. ©2007 IEEE.

Original language	English
Title of host publication	Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
Pages	160-165
Volume	1
DOIs	https://doi.org/10.1109/ICMLC.2007.4370133
Publication status	Published - 2007
Event	6th International Conference on Machine Learning and Cybernetics, ICMLC 2007 - Hong Kong, China Duration: 19 Aug 2007 → 22 Aug 2007

Publication series

Name
Volume	1

Conference

Conference	6th International Conference on Machine Learning and Cybernetics, ICMLC 2007
Place	China
City	Hong Kong
Period	19/08/07 → 22/08/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Research Keywords

Chinese character
HITPU database
Pattern classification
Stroke extraction
Stroke sequence estimation

Access Output

10.1109/ICMLC.2007.4370133

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{2161cfbe04dd48069c7f83f7e8de4139,

title = "Reconstructing strokes and writing sequences from chinese character images",

abstract = "The Chinese characters evolved from pictograms and they are composed of strokes. A standard stroke sequence for each character is available in the dictionary. People introduced heuristic rules to specify the stroke order for easy memorization but it is very ambiguous to reconstruct the dictionary sequence according to the heuristic rules. In this paper, we combine the stroke extraction and stroke sequence reconstruction algorithms to reconstruct the strokes and their sequence from a Chinese character image. A well-known public Chinese character database (the HITPU database) is used as our input data. Performance evaluation shows the robustness of our proposed method and user evaluation shows that our proposed system helps users to create online Chinese character templates quickly and conveniently. {\textcopyright}2007 IEEE.",

keywords = "Chinese character, HITPU database, Pattern classification, Stroke extraction, Stroke sequence estimation",

author = "Kai-Tai Tang and Howard Leung",

year = "2007",

doi = "10.1109/ICMLC.2007.4370133",

language = "English",

isbn = "142440973",

volume = "1",

pages = "160--165",

booktitle = "Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007",

note = "6th International Conference on Machine Learning and Cybernetics, ICMLC 2007 ; Conference date: 19-08-2007 Through 22-08-2007",

}

Tang, K-T & Leung, H 2007, Reconstructing strokes and writing sequences from chinese character images. in Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007. vol. 1, 4370133, pp. 160-165, 6th International Conference on Machine Learning and Cybernetics, ICMLC 2007, Hong Kong, China, 19/08/07. https://doi.org/10.1109/ICMLC.2007.4370133

Reconstructing strokes and writing sequences from chinese character images. / Tang, Kai-Tai; Leung, Howard.
Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007. Vol. 1 2007. p. 160-165 4370133.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Reconstructing strokes and writing sequences from chinese character images

AU - Tang, Kai-Tai

AU - Leung, Howard

PY - 2007

Y1 - 2007

N2 - The Chinese characters evolved from pictograms and they are composed of strokes. A standard stroke sequence for each character is available in the dictionary. People introduced heuristic rules to specify the stroke order for easy memorization but it is very ambiguous to reconstruct the dictionary sequence according to the heuristic rules. In this paper, we combine the stroke extraction and stroke sequence reconstruction algorithms to reconstruct the strokes and their sequence from a Chinese character image. A well-known public Chinese character database (the HITPU database) is used as our input data. Performance evaluation shows the robustness of our proposed method and user evaluation shows that our proposed system helps users to create online Chinese character templates quickly and conveniently. ©2007 IEEE.

AB - The Chinese characters evolved from pictograms and they are composed of strokes. A standard stroke sequence for each character is available in the dictionary. People introduced heuristic rules to specify the stroke order for easy memorization but it is very ambiguous to reconstruct the dictionary sequence according to the heuristic rules. In this paper, we combine the stroke extraction and stroke sequence reconstruction algorithms to reconstruct the strokes and their sequence from a Chinese character image. A well-known public Chinese character database (the HITPU database) is used as our input data. Performance evaluation shows the robustness of our proposed method and user evaluation shows that our proposed system helps users to create online Chinese character templates quickly and conveniently. ©2007 IEEE.

KW - Chinese character

KW - HITPU database

KW - Pattern classification

KW - Stroke extraction

KW - Stroke sequence estimation

UR - https://www.scopus.com/pages/publications/37849052815

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-37849052815&origin=recordpage

U2 - 10.1109/ICMLC.2007.4370133

DO - 10.1109/ICMLC.2007.4370133

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 142440973

SN - 9781424409730

VL - 1

SP - 160

EP - 165

BT - Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007

T2 - 6th International Conference on Machine Learning and Cybernetics, ICMLC 2007

Y2 - 19 August 2007 through 22 August 2007

ER -

Reconstructing strokes and writing sequences from chinese character images

Abstract

Publication series

Conference

UN SDGs

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this