Image skew detection for formulas without fraction bars using connected components analysis

Lichun Zhang; Yue Lu; Guoyue Chen; Patrick S.P. Wang

doi:10.1109/CIT.2007.4385163

Image skew detection for formulas without fraction bars using connected components analysis

Lichun Zhang^*, Yue Lu, Guoyue Chen, Patrick S.P. Wang

^*Corresponding author for this work

School of Communication and Electronic Engineering

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

Abstract

Skew detection acts as an important role in document image analysis systems. Many methods have been designed for text-dominant document images, but they usually fail in handling formula-dominant images. Hough transform is an effective method to estimate the skew angle of formulas with fraction bars, but cannot dealing with formulas without fraction bars. This paper presents a skew angle detection method for formula images that have not fraction bars, by analyzing connected components. All of connected components in a formula are clustered to two classes based on their widths and heights. The connected components in the class that have good alignment characteristics are selected to calculate the skew angle of the formula. Experimental results on various types of skewed formulas without fraction bars have showed the validity of the proposed method.

Original language	English
Title of host publication	CIT 2007
Subtitle of host publication	7th IEEE International Conference on Computer and Information Technology
Pages	680-684
Number of pages	5
DOIs	https://doi.org/10.1109/CIT.2007.4385163
State	Published - 2007
Event	CIT 2007: 7th IEEE International Conference on Computer and Information Technology - Aizu-Wakamatsu, Fukushima, Japan Duration: 16 Oct 2007 → 19 Oct 2007

Publication series

Name	CIT 2007: 7th IEEE International Conference on Computer and Information Technology

Conference

Conference	CIT 2007: 7th IEEE International Conference on Computer and Information Technology
Country/Territory	Japan
City	Aizu-Wakamatsu, Fukushima
Period	16/10/07 → 19/10/07

Access to Document

10.1109/CIT.2007.4385163

Cite this

Zhang, L., Lu, Y., Chen, G., & Wang, P. S. P. (2007). Image skew detection for formulas without fraction bars using connected components analysis. In CIT 2007: 7th IEEE International Conference on Computer and Information Technology (pp. 680-684). Article 4385163 (CIT 2007: 7th IEEE International Conference on Computer and Information Technology). https://doi.org/10.1109/CIT.2007.4385163

@inproceedings{031bdff10ca84aee84fb803d781b1835,

title = "Image skew detection for formulas without fraction bars using connected components analysis",

abstract = "Skew detection acts as an important role in document image analysis systems. Many methods have been designed for text-dominant document images, but they usually fail in handling formula-dominant images. Hough transform is an effective method to estimate the skew angle of formulas with fraction bars, but cannot dealing with formulas without fraction bars. This paper presents a skew angle detection method for formula images that have not fraction bars, by analyzing connected components. All of connected components in a formula are clustered to two classes based on their widths and heights. The connected components in the class that have good alignment characteristics are selected to calculate the skew angle of the formula. Experimental results on various types of skewed formulas without fraction bars have showed the validity of the proposed method.",

author = "Lichun Zhang and Yue Lu and Guoyue Chen and Wang, \{Patrick S.P.\}",

year = "2007",

doi = "10.1109/CIT.2007.4385163",

language = "英语",

isbn = "0769529836",

series = "CIT 2007: 7th IEEE International Conference on Computer and Information Technology",

pages = "680--684",

booktitle = "CIT 2007",

note = "CIT 2007: 7th IEEE International Conference on Computer and Information Technology ; Conference date: 16-10-2007 Through 19-10-2007",

}

Zhang, L, Lu, Y, Chen, G & Wang, PSP 2007, Image skew detection for formulas without fraction bars using connected components analysis. in CIT 2007: 7th IEEE International Conference on Computer and Information Technology., 4385163, CIT 2007: 7th IEEE International Conference on Computer and Information Technology, pp. 680-684, CIT 2007: 7th IEEE International Conference on Computer and Information Technology, Aizu-Wakamatsu, Fukushima, Japan, 16/10/07. https://doi.org/10.1109/CIT.2007.4385163

Image skew detection for formulas without fraction bars using connected components analysis. / Zhang, Lichun; Lu, Yue; Chen, Guoyue et al.
CIT 2007: 7th IEEE International Conference on Computer and Information Technology. 2007. p. 680-684 4385163 (CIT 2007: 7th IEEE International Conference on Computer and Information Technology).

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

TY - GEN

T1 - Image skew detection for formulas without fraction bars using connected components analysis

AU - Zhang, Lichun

AU - Lu, Yue

AU - Chen, Guoyue

AU - Wang, Patrick S.P.

PY - 2007

Y1 - 2007

N2 - Skew detection acts as an important role in document image analysis systems. Many methods have been designed for text-dominant document images, but they usually fail in handling formula-dominant images. Hough transform is an effective method to estimate the skew angle of formulas with fraction bars, but cannot dealing with formulas without fraction bars. This paper presents a skew angle detection method for formula images that have not fraction bars, by analyzing connected components. All of connected components in a formula are clustered to two classes based on their widths and heights. The connected components in the class that have good alignment characteristics are selected to calculate the skew angle of the formula. Experimental results on various types of skewed formulas without fraction bars have showed the validity of the proposed method.

AB - Skew detection acts as an important role in document image analysis systems. Many methods have been designed for text-dominant document images, but they usually fail in handling formula-dominant images. Hough transform is an effective method to estimate the skew angle of formulas with fraction bars, but cannot dealing with formulas without fraction bars. This paper presents a skew angle detection method for formula images that have not fraction bars, by analyzing connected components. All of connected components in a formula are clustered to two classes based on their widths and heights. The connected components in the class that have good alignment characteristics are selected to calculate the skew angle of the formula. Experimental results on various types of skewed formulas without fraction bars have showed the validity of the proposed method.

UR - https://www.scopus.com/pages/publications/38049065410

U2 - 10.1109/CIT.2007.4385163

DO - 10.1109/CIT.2007.4385163

M3 - 会议稿件

AN - SCOPUS:38049065410

SN - 0769529836

SN - 9780769529837

T3 - CIT 2007: 7th IEEE International Conference on Computer and Information Technology

SP - 680

EP - 684

BT - CIT 2007

T2 - CIT 2007: 7th IEEE International Conference on Computer and Information Technology

Y2 - 16 October 2007 through 19 October 2007

ER -

Image skew detection for formulas without fraction bars using connected components analysis

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this