Document image binarisation based on low-rank modelling

Segmentation from document images with a complex background is presented. The background component is estimated by low-rank modelling. With the estimated background component, the original image is further transformed into a compensated image which is easily segmented with Otsu's thresholding a...

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Bibliographic Details
Published inElectronics letters Vol. 51; no. 22; pp. 1784 - 1786
Main Authors Zheng, Xin, Chen, Yung-Sheng
Format Journal Article
LanguageEnglish
Published The Institution of Engineering and Technology 22.10.2015
Subjects
Algorithms
background component
Bickley diary
compensated image
complex background
Diaries
DIBCO 2013 datasets
document image binarisation
document image processing
document image segmentation
Feasibility
Image and vision processing and display technology
image segmentation
low rank modelling
Modelling
Otsu thresholding algorithm
Segmentation
compensated image
low rank modelling
image segmentation
document image processing
Bickley diary
document image binarisation
document image segmentation
DIBCO 2013 datasets
complex background
background component
Otsu thresholding algorithm
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Summary:Segmentation from document images with a complex background is presented. The background component is estimated by low-rank modelling. With the estimated background component, the original image is further transformed into a compensated image which is easily segmented with Otsu's thresholding algorithm to obtain a good binarisation result. Experiments on the Bickley diary and the DIBCO 2013 datasets validate the feasibility of the proposed method.
Bibliography:ObjectType-Article-1
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content type line 23
ISSN:0013-5194
1350-911X
1350-911X
DOI:10.1049/el.2015.2289