Seite - 2 - in Document Image Processing

J. Imaging 2018,4, 84 dataset. TheDocCreator software described in the paper by Journet et al. [11] creates additional documentsamples frominputones,usingadegradationmodel. Suchaugmenteddataareusedto traindeeplearningsystemsor toevaluatesystemperformance.Document imagescanbeextended tovideos including text. ThepaperbyZayenneetal. [12]describesopen-source tools formultiple documentprocessingtasks: annotationofArabicnewsvideos,evaluationof textdetectionandtext recognition.Authorsalsorelease theActiv2.0databaseofArabicvideosandmakeitpubliclyavailable. Theguest editorswouldalso like to thankall the authors that have submittedpapers to this special issue,all thereviewers for theircontribution,andthe Journalof ImagingEditors. AuthorContributions:Thetwoauthorshaveequallycontributedto thewritingof thiseditorial. Conflictsof Interest:Theauthorsdeclarenoconflictof interest. References 1. Hanif, M.; Tonazzini, A.; Savino, P.; Salerno, E. Non-Local Sparse Image Inpainting for Document Bleed-ThroughRemoval. J. Imaging2018,4, 68. [CrossRef] 2. Almeida,M.;Lins,R.D.;Bernardino,R.; Jesus,D.;Lima,B.ANewBinarizationAlgorithmforHistorical Documents. J. Imaging2018,4, 27. [CrossRef] 3. Kavallieratou,E.;Likforman-Sulem,L.;Vasilopoulos,N.SlantRemovalTechniqueforHistoricalDocument Images. J. Imaging2018,4, 80. [CrossRef] 4. Ghosh,S.;Lahiri,D.;Bhowmik,S.;Kavallieratou,E.; Sarkar,R.Text/Non-TextSeparation fromHandwritten Document ImagesUsingLBPBasedFeatures:AnEmpiricalStudy. J. Imaging2018,4, 57. [CrossRef] 5. Nashwan, F.M.A.; Rashwan, M.A.A.; Al-Barhamtoshy, H.M.; Abdou, S.M.; Moussa, A.M. A Holistic TechniqueforanArabicOCRSystem. J. Imaging2018,4, 6. [CrossRef] 6. Nagendar,G.; Ranjan,V.;Harit,G.; Jawahar,C.V.EfficientQuerySpecificDTWDistance forDocument RetrievalwithUnlimitedVocabulary. J. Imaging2018,4, 37. [CrossRef] 7. Jangid,M.; Srivastava, S.HandwrittenDevanagariCharacterRecognitionUsingLayer-WiseTrainingof DeepConvolutionalNeuralNetworksandAdaptiveGradientMethods. J. Imaging2018,4, 41. [CrossRef] 8. Kesiman,M.W.A.;Valy,D.;Burie, J.-C.;Paulus,E.;Suryani,M.;Hadi,S.;Verleysen,M.;Chhun,S.;Ogier, J.-M. BenchmarkingofDocumentImageAnalysisTasksforPalmLeafManuscriptsfromSoutheastAsia. J. Imaging 2018,4, 43. [CrossRef] 9. Granell, E.; Chammas, E.; Likforman-Sulem, L.; Martínez-Hinarejos, C.-D.; Mokbel, C.; Cîrstea, B.-I. Transcription of SpanishHistorical HandwrittenDocumentswith DeepNeural Networks. J. Imaging 2018,4, 15. [CrossRef] 10. Mukhopadhyay, A.; Singh, P.K.; Sarkar, R.; Nasipuri,M. A Study of Different Classifier Combination Approaches forHandwrittenIndicScriptRecognition. J. Imaging2018,4, 39. [CrossRef] 11. Journet,N.;Visani,M.;Mansencal,B.;Van-Cuong,K.;Billy,A.DocCreator:ANewSoftware forCreating SyntheticGround-TruthedDocument Images. J. Imaging2017,3, 62. [CrossRef] 12. Zayene,O.;Touj,S.M.;Hennebert, J.; Ingold,R.;BenAmara,N.E.OpenDatasetsandTools forArabicText DetectionandRecognition inNewsVideoFrames. J. Imaging2018,4, 32. [CrossRef] ©2018bytheauthors. LicenseeMDPI,Basel,Switzerland. Thisarticle isanopenaccess articledistributedunder the termsandconditionsof theCreativeCommonsAttribution (CCBY) license (http://creativecommons.org/licenses/by/4.0/). 2