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» Using task analysis in documentation field research
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ICDAR
2009
IEEE
13 years 5 months ago
Document Image Binarisation Using Markov Field Model
This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov Random Field (MRF) model of the document. ...
Thibault Lelore, Frédéric Bouchara
DRR
2011
12 years 7 months ago
How carefully designed open resource sharing can help and expand document analysis research
w—king d—t—sets —v—il—˜le for peer reviewing of pu˜lished do™ument —n—lysis methods or distri˜uting l—rge ™ommonly used do™ument ™orpor— for ˜en™hm—rking —re ...
Bart Lamiroy, Daniel P. Lopresti, Henry F. Korth, ...
DAS
2008
Springer
13 years 9 months ago
A Document Analysis System for Supporting Electronic Voting Research
As a result of well-publicized security concerns with direct recording electronic (DRE) voting, there is a growing call for systems that employ some form of paper artifact to prov...
Daniel P. Lopresti, George Nagy, Elisa H. Barney S...
DAS
2010
Springer
13 years 9 months ago
Overlapped text segmentation using Markov random field and aggregation
Separating machine printed text and handwriting from overlapping text is a challenging problem in the document analysis field and no reliable algorithms have been developed thus f...
Xujun Peng, Srirangaraj Setlur, Venu Govindaraju, ...
ICPR
2010
IEEE
13 years 5 months ago
Exploiting Combined Multi-level Model for Document Sentiment Analysis
This paper focuses on the task of text sentiment analysis in hybrid online articles and web pages. Traditional approaches of text sentiment analysis typically work at a particular ...
Si Li, Hao Zhang, Weiran Xu, Guang Chen, Jun Guo