ICDAR 2011 Chinese handwriting recognition competition

Cheng Lin Liu; Fei Yin; Qiu Feng Wang; Da Han Wang

doi:10.1109/ICDAR.2011.291

ICDAR 2011 Chinese handwriting recognition competition

Cheng Lin Liu^*, Fei Yin, Qiu Feng Wang, Da Han Wang

^*Corresponding author for this work

CAS - Institute of Automation

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

169 Citations (Scopus)

Abstract

In the Chinese handwriting recognition competition organized with the ICDAR 2011, four tasks were evaluated: offline and online isolated character recognition, offline and online handwritten text recognition. To enable the training of recognition systems, we announced the large databases CASIA-HWDB/OLHWDB. The submitted systems were evaluated on un-open datasets to report character-level correct rates. In total, we received 25 systems submitted by eight groups. On the test datasets, the best results (correct rates) are 92.18% for offline character recognition, 95.77% for online character recognition, 77.26% for offline text recognition, and 94.33% for online text recognition, respectively. In addition to the evaluation results, we provide short descriptions of the recognition methods and have brief discussions.

Original language	English
Title of host publication	Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011
Pages	1464-1469
Number of pages	6
DOIs	https://doi.org/10.1109/ICDAR.2011.291
Publication status	Published - 2011
Externally published	Yes
Event	11th International Conference on Document Analysis and Recognition, ICDAR 2011 - Beijing, China Duration: 18 Sept 2011 → 21 Sept 2011

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISSN (Print)	1520-5363

Conference

Conference	11th International Conference on Document Analysis and Recognition, ICDAR 2011
Country/Territory	China
City	Beijing
Period	18/09/11 → 21/09/11

Keywords

Chinese handwriting recognition competition
handwritten text recognition
isolated character recongition
offline
online

Access to Document

10.1109/ICDAR.2011.291

Cite this

Liu, C. L., Yin, F., Wang, Q. F., & Wang, D. H. (2011). ICDAR 2011 Chinese handwriting recognition competition. In Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011 (pp. 1464-1469). Article 6065551 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). https://doi.org/10.1109/ICDAR.2011.291

@inproceedings{184818cba9894b338501b1e5325e9f2e,

title = "ICDAR 2011 Chinese handwriting recognition competition",

abstract = "In the Chinese handwriting recognition competition organized with the ICDAR 2011, four tasks were evaluated: offline and online isolated character recognition, offline and online handwritten text recognition. To enable the training of recognition systems, we announced the large databases CASIA-HWDB/OLHWDB. The submitted systems were evaluated on un-open datasets to report character-level correct rates. In total, we received 25 systems submitted by eight groups. On the test datasets, the best results (correct rates) are 92.18% for offline character recognition, 95.77% for online character recognition, 77.26% for offline text recognition, and 94.33% for online text recognition, respectively. In addition to the evaluation results, we provide short descriptions of the recognition methods and have brief discussions.",

keywords = "Chinese handwriting recognition competition, handwritten text recognition, isolated character recongition, offline, online",

author = "Liu, {Cheng Lin} and Fei Yin and Wang, {Qiu Feng} and Wang, {Da Han}",

year = "2011",

doi = "10.1109/ICDAR.2011.291",

language = "English",

isbn = "9780769545202",

series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",

pages = "1464--1469",

booktitle = "Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011",

note = "11th International Conference on Document Analysis and Recognition, ICDAR 2011 ; Conference date: 18-09-2011 Through 21-09-2011",

}

Liu, CL, Yin, F, Wang, QF & Wang, DH 2011, ICDAR 2011 Chinese handwriting recognition competition. in Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011., 6065551, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pp. 1464-1469, 11th International Conference on Document Analysis and Recognition, ICDAR 2011, Beijing, China, 18/09/11. https://doi.org/10.1109/ICDAR.2011.291

ICDAR 2011 Chinese handwriting recognition competition. / Liu, Cheng Lin; Yin, Fei; Wang, Qiu Feng et al.
Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011. 2011. p. 1464-1469 6065551 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - ICDAR 2011 Chinese handwriting recognition competition

AU - Liu, Cheng Lin

AU - Yin, Fei

AU - Wang, Qiu Feng

AU - Wang, Da Han

PY - 2011

Y1 - 2011

N2 - In the Chinese handwriting recognition competition organized with the ICDAR 2011, four tasks were evaluated: offline and online isolated character recognition, offline and online handwritten text recognition. To enable the training of recognition systems, we announced the large databases CASIA-HWDB/OLHWDB. The submitted systems were evaluated on un-open datasets to report character-level correct rates. In total, we received 25 systems submitted by eight groups. On the test datasets, the best results (correct rates) are 92.18% for offline character recognition, 95.77% for online character recognition, 77.26% for offline text recognition, and 94.33% for online text recognition, respectively. In addition to the evaluation results, we provide short descriptions of the recognition methods and have brief discussions.

AB - In the Chinese handwriting recognition competition organized with the ICDAR 2011, four tasks were evaluated: offline and online isolated character recognition, offline and online handwritten text recognition. To enable the training of recognition systems, we announced the large databases CASIA-HWDB/OLHWDB. The submitted systems were evaluated on un-open datasets to report character-level correct rates. In total, we received 25 systems submitted by eight groups. On the test datasets, the best results (correct rates) are 92.18% for offline character recognition, 95.77% for online character recognition, 77.26% for offline text recognition, and 94.33% for online text recognition, respectively. In addition to the evaluation results, we provide short descriptions of the recognition methods and have brief discussions.

KW - Chinese handwriting recognition competition

KW - handwritten text recognition

KW - isolated character recongition

KW - offline

KW - online

UR - http://www.scopus.com/inward/record.url?scp=82355169298&partnerID=8YFLogxK

U2 - 10.1109/ICDAR.2011.291

DO - 10.1109/ICDAR.2011.291

M3 - Conference Proceeding

AN - SCOPUS:82355169298

SN - 9780769545202

T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

SP - 1464

EP - 1469

BT - Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011

T2 - 11th International Conference on Document Analysis and Recognition, ICDAR 2011

Y2 - 18 September 2011 through 21 September 2011

ER -

ICDAR 2011 Chinese handwriting recognition competition

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Cite this