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 in:Electronics letters 2015-10, Vol.51 (22), p.1784-1786
Main Authors: Zheng, Xin, Chen, Yung-Sheng
Format: Article
Language:English
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
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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.
ISSN:0013-5194
1350-911X
1350-911X
DOI:10.1049/el.2015.2289