Algorithm of Document Skew Detection Based on Character Vertices

Author

Ju, Zhiyong ; Gu, Guoqing

Author_Institution

Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China

Volume

2

fYear

2009

fDate

21-22 Nov. 2009

Firstpage

23

Lastpage

26

Abstract

We propose a new skew detection algorithm, which is based on the lowest pixels of a set of characters. The skew angle is evaluated by applying moment calculation, and the method to get characters in one text-line is described in detail. Document images of various languages, including English and Chinese, can be validly treated by this algorithm. Both the document images with large skew angle and the document images containing a few characters can be treated by this algorithm.

Keywords

document image processing; applying moment calculation; character vertices; document images various languages; document skew detection; lowest pixels; skew angle; text line detail; Application software; Automata; Detection algorithms; Embedded software; Information science; Information technology; Natural languages; Optical computing; Smart pixels; Software quality; Character Vertices; Moment calculation; Skew detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on

Conference_Location

Nanchang

Print_ISBN

978-0-7695-3859-4

Type

conf

DOI

10.1109/IITA.2009.103

Filename

5370161