Author： Lu Shijian
Publisher： Springer Publishing Company
ISSN： 1433-7541
Source： Pattern Analysis and Applications (PAA), Vol.13, Iss.4, 2010-11, pp. : 469-475
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Document scripts and document orientations are important information for the document digitalization. Prior work has been reported to identify document scripts and document orientations, whereas most reported methods are very sensitive to document skew and low image resolution. This paper reports a document script and document orientation identification method that addresses this issue by converting a document image into a pair of document vectors using the density and distribution of character strokes. Experiments over 3,024 document images of 12 scripts show that the proposed methods are accurate and tolerant to various types of document degradation.
Related content
Access to resources
Recommend
Unconstrained logo detection in document images
By Pham T.D.
Pattern Recognition, Vol. 36, Iss. 12, 2003-12 ,pp. :
The Indexing and Retrieval of Document Images: A Survey
By Doermann D.
Computer Vision and Image Understanding, Vol. 70, Iss. 3, 1998-06 ,pp. :