TY - GEN
T1 - Directed assistance for ink-bleed reduction in old documents
AU - Lu, Zheng
AU - Wu, Zheng
AU - Brown, Michael S.
N1 - Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - Ink-bleed interference is a serious problem that affects the legibility of old documents. Ink-bleed can be reduced using pixel classification based on user-supplied markup that labels examples of ink-bleed, foreground-ink, and background. The main challenge is ensuring that the user's markup sufficiently captures the characteristics of the document. This is particularly troublesome for old documents that can exhibit significant change within the same page. In this paper, we address this markup problem using a "directed assistance" approach in which the user provides a small amount of initial markup. The image is then classified and regions with low classification confidence are grouped and displayed to the user for another round of markup. The key idea is to direct the user to where markup is needed. In addition, local markup can be weighted in the classification algorithm to produce better results.
AB - Ink-bleed interference is a serious problem that affects the legibility of old documents. Ink-bleed can be reduced using pixel classification based on user-supplied markup that labels examples of ink-bleed, foreground-ink, and background. The main challenge is ensuring that the user's markup sufficiently captures the characteristics of the document. This is particularly troublesome for old documents that can exhibit significant change within the same page. In this paper, we address this markup problem using a "directed assistance" approach in which the user provides a small amount of initial markup. The image is then classified and regions with low classification confidence are grouped and displayed to the user for another round of markup. The key idea is to direct the user to where markup is needed. In addition, local markup can be weighted in the classification algorithm to produce better results.
UR - http://www.scopus.com/inward/record.url?scp=70450173651&partnerID=8YFLogxK
U2 - 10.1109/CVPRW.2009.5206789
DO - 10.1109/CVPRW.2009.5206789
M3 - Conference contribution
AN - SCOPUS:70450173651
SN - 9781424439935
T3 - 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009
SP - 88
EP - 95
BT - 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009
PB - IEEE Computer Society
T2 - 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009
Y2 - 20 June 2009 through 25 June 2009
ER -