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dc.contributor.authorCan, E.F.en_US
dc.contributor.authorDuygulu P.en_US
dc.date.accessioned2016-02-08T11:37:11Z
dc.date.available2016-02-08T11:37:11Z
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/11693/26833
dc.description.abstractWe present new methods to retrieve words in historical handwritten documents. With the assumption that the words can be seen as images, we used the word spotting idea and search for the words in the documents using image retrieval techniques. Specifically, we proposed two methods, one based on the histogram of gradient orientations and one based on the correlation coefficient. We also proposed a new method by combining these two methods. In the experiments the data set consisting of George Washington's handwritings is used. ©2008 IEEE.en_US
dc.language.isoTurkishen_US
dc.source.title2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIUen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2008.4632567en_US
dc.subjectCorrelation coefficientsen_US
dc.subjectData setsen_US
dc.subjectGradient orientationsen_US
dc.subjectHandwritten documentsen_US
dc.subjectHistorical documentsen_US
dc.subjectImage retrieval techniquesen_US
dc.subjectWashingtonen_US
dc.subjectWord spottingen_US
dc.subjectImage retrievalen_US
dc.subjectSignal processingen_US
dc.subjectCorrelation methodsen_US
dc.titleWord spotting in historical documentsen_US
dc.title.alternativeEl yazisi belgelerde kelime tabanli aramaen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Computer Engineering
dc.identifier.doi10.1109/SIU.2008.4632567en_US


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