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Document Image Processing
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J. Imaging 2018,4, 32 typesofXMLfileshavebeengenerated,basedonthe informationcontainedintheglobalXMLfile, one for thedetectiondataset and the other for the recognitiondataset. ThedetectionXMLfile is providedat the line level foreachframe. Figure9adepictsapartof thedetectionXMLfileofFrance24 TVchannel. Oneboundingbox isdescribedby theelementRectanglewhichcontains the rectangle attributes: (x,y) coordinates,widthandheight. Therecognitionground-truthfilesareprovidedat the line level foreachtext image. TheXMLfile iscomposedof twomarkupsections:ArabicTranscription andLatinTranscription. Figure9bdepictsanexampleofaground-truthXMLfileandits textline image. Figure8.ApartofaglobalXMLannotatingavideosequenceofAljazeeraTV.Thisfigurecontains ground-truth informationabout three text-boxes fromatotalof17. a b Figure9.ExampleofAcTiV2.0specificXMLfiles: (a) apartof thedetectionXMLfileofFrance24TV; and(b) a recognitionground-truthfileanditscorrespondingtextline image. 196
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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