Skew detection for chinese handwriting by horizontal stroke histogram

Tong Hua Su; Tian Wen Zhang; Hu Jie Huang; Yu Zhou

doi:10.1109/ICDAR.2007.4377045

Skew detection for chinese handwriting by horizontal stroke histogram

Tong Hua Su^*
, Tian Wen Zhang
, Hu Jie Huang
, Yu Zhou

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology

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

18 Scopus citations

Abstract

This paper proposes a skew detection method for real Chinese handwritten documents. After analyzing the characteristics of Chinese characters, it utilizes the horizontal stroke histogram. Its accuracy, ability to increase the recall rate of text line separation, and CPU time consuming are investigated using 853 real Chinese handwritten documents. The results show that: 1) The method can identify 98.83% of the skew angles within one degree, with an improvement of 8.44% than Wigner-Ville Distribution (WVD) method; 2) When incorporated into text line separation, the recall rate has an improvement of 2.54% than WVD method; 3) The method only consumes one-twentieth of WVD method on the same test environment.

Original language	English
Title of host publication	Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007
Pages	899-903
Number of pages	5
DOIs	https://doi.org/10.1109/ICDAR.2007.4377045
State	Published - 2007
Externally published	Yes
Event	9th International Conference on Document Analysis and Recognition, ICDAR 2007 - Curitiba, Brazil Duration: 23 Sep 2007 → 26 Sep 2007

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2
ISSN (Print)	1520-5363

Conference

Conference	9th International Conference on Document Analysis and Recognition, ICDAR 2007
Country/Territory	Brazil
City	Curitiba
Period	23/09/07 → 26/09/07

Access to Document

10.1109/ICDAR.2007.4377045

Cite this

Su, T. H., Zhang, T. W., Huang, H. J., & Zhou, Y. (2007). Skew detection for chinese handwriting by horizontal stroke histogram. In Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007 (pp. 899-903). Article 4377045 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2). https://doi.org/10.1109/ICDAR.2007.4377045

@inproceedings{a7fd6e79f9a44f88bc050f62f03e3f50,

title = "Skew detection for chinese handwriting by horizontal stroke histogram",

abstract = "This paper proposes a skew detection method for real Chinese handwritten documents. After analyzing the characteristics of Chinese characters, it utilizes the horizontal stroke histogram. Its accuracy, ability to increase the recall rate of text line separation, and CPU time consuming are investigated using 853 real Chinese handwritten documents. The results show that: 1) The method can identify 98.83\% of the skew angles within one degree, with an improvement of 8.44\% than Wigner-Ville Distribution (WVD) method; 2) When incorporated into text line separation, the recall rate has an improvement of 2.54\% than WVD method; 3) The method only consumes one-twentieth of WVD method on the same test environment.",

author = "Su, \{Tong Hua\} and Zhang, \{Tian Wen\} and Huang, \{Hu Jie\} and Yu Zhou",

year = "2007",

doi = "10.1109/ICDAR.2007.4377045",

language = "英语",

isbn = "0769528228",

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

pages = "899--903",

booktitle = "Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007",

note = "9th International Conference on Document Analysis and Recognition, ICDAR 2007 ; Conference date: 23-09-2007 Through 26-09-2007",

}

Su, TH, Zhang, TW, Huang, HJ & Zhou, Y 2007, Skew detection for chinese handwriting by horizontal stroke histogram. in Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007., 4377045, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2, pp. 899-903, 9th International Conference on Document Analysis and Recognition, ICDAR 2007, Curitiba, Brazil, 23/09/07. https://doi.org/10.1109/ICDAR.2007.4377045

Skew detection for chinese handwriting by horizontal stroke histogram. / Su, Tong Hua; Zhang, Tian Wen; Huang, Hu Jie et al.
Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007. 2007. p. 899-903 4377045 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2).

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

TY - GEN

T1 - Skew detection for chinese handwriting by horizontal stroke histogram

AU - Su, Tong Hua

AU - Zhang, Tian Wen

AU - Huang, Hu Jie

AU - Zhou, Yu

PY - 2007

Y1 - 2007

N2 - This paper proposes a skew detection method for real Chinese handwritten documents. After analyzing the characteristics of Chinese characters, it utilizes the horizontal stroke histogram. Its accuracy, ability to increase the recall rate of text line separation, and CPU time consuming are investigated using 853 real Chinese handwritten documents. The results show that: 1) The method can identify 98.83% of the skew angles within one degree, with an improvement of 8.44% than Wigner-Ville Distribution (WVD) method; 2) When incorporated into text line separation, the recall rate has an improvement of 2.54% than WVD method; 3) The method only consumes one-twentieth of WVD method on the same test environment.

AB - This paper proposes a skew detection method for real Chinese handwritten documents. After analyzing the characteristics of Chinese characters, it utilizes the horizontal stroke histogram. Its accuracy, ability to increase the recall rate of text line separation, and CPU time consuming are investigated using 853 real Chinese handwritten documents. The results show that: 1) The method can identify 98.83% of the skew angles within one degree, with an improvement of 8.44% than Wigner-Ville Distribution (WVD) method; 2) When incorporated into text line separation, the recall rate has an improvement of 2.54% than WVD method; 3) The method only consumes one-twentieth of WVD method on the same test environment.

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DO - 10.1109/ICDAR.2007.4377045

M3 - 会议稿件

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SN - 0769528228

SN - 9780769528229

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

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BT - Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007

T2 - 9th International Conference on Document Analysis and Recognition, ICDAR 2007

Y2 - 23 September 2007 through 26 September 2007

ER -

Skew detection for chinese handwriting by horizontal stroke histogram

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