Title :
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
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;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.103
