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Document Image Processing
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J. Imaging 2018,4, 39 Figure5.OutputwordimagesofModifiedlog-Gaborfilter transformonasamplehandwrittenBangla wordimage(shownonleft-side) for5different scalesand6differentorientations (thefirst rowshows theoutput forno=00 andfivescales, thesecondrowshowstheoutput forno=300 andfivescales andsoon). 3.ClassifierCombination Classifiercombinationtries to improveonthe taskofpatternrecognitionperformance through mathematicalmodels. Theoutputsofclassifierscanberepresentedasvectorsofnumberswhere the dimensionofvectors isequal to thenumberofclasses.Asaresult, thecombinationproblemcanbe definedasaproblemoffindingthecombinationfunctionacceptingN-dimensional scorevectors from Mclassifiers andoutputtingNfinal classification scores (seeFigure6),where the function tries to minimize themisclassificationcost. Figure6.Classifiercombinationtakesasetofsji scoreforclass ibyclassifier jandproducescombination scoresSi foreachclass i [34]. 155
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Document Image Processing
Title
Document Image Processing
Authors
Ergina Kavallieratou
Laurence Likforman-Sulem
Editor
MDPI
Location
Basel
Date
2018
Language
German
License
CC BY-NC-ND 4.0
ISBN
978-3-03897-106-1
Size
17.0 x 24.4 cm
Pages
216
Keywords
document image processing, preprocessing, binarizationl, text-line segmentation, handwriting recognition, indic/arabic/asian script, OCR, Video OCR, word spotting, retrieval, document datasets, performance evaluation, document annotation tools
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Informatik
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Document Image Processing