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Document Image Processing
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J. Imaging 2018,4, 80 Figure5.Possible localizationofappropriatefragmentsonthepage. Therequirednumberoffragments isM=5. 3.Results Since there isnoprevioussimilarworktocomparewith,a trial ismadetoperformanabsolute evaluation invariousways. Thus, inorder toperformourexperimentsandevaluate theparameters, fourdatabaseswereused: 1. TheTrigraphSlant database (DB) [18], in order to perform tests on a renownedDB for slant. However, in thisDBeachwriterwasasked towrite twopagesofhisnatural slantandtwoof forceslants.Only thenatural slantdocumentswereusedhere (seeExperimentalResults). 2. The George Washington DB [19], in order to perform tests on a renowned DB of historicaldocuments. 3. TheBH2M:theBarcelonaHistoricalHandwrittenMarriagesdatabase [20], inorder toperform testsonasecondDBofhistoricaldocuments. 4. The PrintDB: printed documentswith artificial slant, in order to check the accuracy of the technique.Moreover, sinceall therestdonotguarantee theexistenceofall thepossibleslants, special carewas takento includeallpossibleslants, including0(noslant). Avalidationsetandatest setwerecreated. Thevalidationsetconsistsof20document images fromtheTrigraphSlantDB,4 fromtheWashingtonDB,4 fromtheBH2MDB,and80fromthePrintDB. Thetest set consistsof60document images fromtheTrigraphSlantDB,16 fromtheWashingtonDB,16 fromtheBH2MDB,and298fromthePrintDB. 35
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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
Category
Informatik
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Document Image Processing