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J. Imaging 2017,3, 62 Figure9.Examplesof twoviewpointsof thesamedocument image, thatcouldbeused in thecontext ofcamera-baseddocument imageanalysis. 3.7.Nonlinear IlluminationModel DocCreatorprovidesanimplementationof thenonlinear illuminationmodelproposedin[52]. Whenscanningthickdocuments, thepagetobephotocopiedmaynotbeflatonthedocumentglass andthus the illumination isnotconstantonthewholedocument. Thismodelconsider thataborderof thedocument isbendinonedirectionbyaradiusρ. The illuminationatapointP’onthedocument pages is inverselyproportional to thedistanceofpointP’ fromthe lightsourceL.The illuminationat pointP’ is computedwith the followingequation: IP′= I0( l0 (l0+ρ(1−cosφ))) 2 where I0 is the original intensity, l0 thedistancebetween thedocument glass and the light source L, and φ the angle between the normal at P’ (where the page is curved) and the normal to the glassdocument. Figure10showsanexampleof this illuminationdefect. It isnoteworthy that this illuminationdefect simulates justaparticularcaseofwhatour3Dpaperdeformationmodelpresented in theprevioussectioncanportray. Except for the inkdegradationmodel, theotherdegradationmodelsworkbothongrayscaleand colourdocument images. DocCreatoraimsatprovidingotherdegradationmodels. Inparticular,wearecurrentlyworking onthe integrationofacolour inkspotgenerationmodeldescribed in [35]. 180
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Document Image Processing
Titel
Document Image Processing
Autoren
Ergina Kavallieratou
Laurence Likforman-Sulem
Herausgeber
MDPI
Ort
Basel
Datum
2018
Sprache
deutsch
Lizenz
CC BY-NC-ND 4.0
ISBN
978-3-03897-106-1
Abmessungen
17.0 x 24.4 cm
Seiten
216
Schlagwörter
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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Document Image Processing