DocumentCode
2029746
Title
Multi-window binarization of camera image for document recognition
Author
Kim, In-Jung
Author_Institution
Inzisoft Co. Ltd., South Korea
fYear
2004
fDate
26-29 Oct. 2004
Firstpage
323
Lastpage
327
Abstract
This paper proposes an adaptive binarization method for the document image acquired by camera. By applying multiple windows vary in size, it determines the local thresholds with the information from the global trend as well as the local detail. As the consequence, the proposed method is good at not only preserving fine detail of the character structure but also absorbing noise. The effectiveness of the proposed method was shown by the experiment.
Keywords
cameras; document image processing; image recognition; adaptive binarization method; camera image; document image recognition; multiwindow binarization; Brightness; Cameras; Focusing; Image analysis; Image recognition; Lenses; Text analysis; adaptive binarization; camera image;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on
ISSN
1550-5235
Print_ISBN
0-7695-2187-8
Type
conf
DOI
10.1109/IWFHR.2004.70
Filename
1363931
Link To Document