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Document Image Processing
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J. Imaging 2018,4, 43 40. ICFHR2016CompetitionontheAnalysisofHandwrittenText in ImagesofBalinesePalmLeafManuscripts. Availableonline: http://amadi.univ-lr.fr/ICFHR2016_Contest/ (accessedon20February2018). 41. Gupta,M.R.; Jacobson,N.P.;Garcia,E.K.OCRbinarizationandimagepre-processingforsearchinghistorical documents.PatternRecognit. 2007,40, 389–397. [CrossRef] 42. Feng,M.-L.;Tan,Y.-P.Contrastadaptivebinarizationof lowqualitydocumentimages. IEICEElectron.Express 2004,1, 501–506. [CrossRef] 43. Global Image Threshold Using Otsu’s Method—MATLAB Graythresh—MathWorks France. Available online: https://fr.mathworks.com/help/images/ref/graythresh.html?requestedDomain=true (accessedon 20February2018). 44. Khurshid, K.; Siddiqi, I.; Faure, C.; Vincent,N.Comparison ofNiblack InspiredBinarizationMethods for Ancient Documents. In Proceedings of the Document Recognition and Retrieval XVI, 72470U, SanJose,CA,USA,21 January2009;p.72470U. [CrossRef] 45. Sauvola, J.; Pietikäinen,M.Adaptivedocument imagebinarization. PatternRecognit. 2000, 33, 225–236. [CrossRef] 46. Wolf, C.; Jolion, J.-M.; Chassaing, F. Text Localization, Enhancement and Binarization in Multimedia Documents. In Proceedings of theObject recognition supported byuser interaction for service robots, QuebecCity,QC,Canada,11–15August2002;pp.1037–1040. 47. Arvanitopoulos,N.;Susstrunk,S.SeamCarvingforTextLineExtractiononColorandGrayscaleHistorical Manuscripts. InProceedingsof the14th InternationalConferenceonFrontiers inHandwritingRecognition, Heraklion,Greece,1–4September2014;pp.726–731. 48. Hossain,M.Z.;Amin,M.A.;Yan,H.RapidFeatureExtractionforOpticalCharacterRecognition.Available online: http://arxiv.org/abs/1206.0238 (accessedon20February2018). 49. Fujisawa,Y.; Shi,M.;Wakabayashi, T.;Kimura, F.Handwrittennumeral recognitionusinggradient and curvatureofgrayscale image. InProceedingsof theFifth InternationalConferenceonDocumentAnalysis andRecognition. ICDAR’99,Bangalore, India,22September1999;pp.277–280. 50. Kumar,S.NeighborhoodPixelsWeights-ANewFeatureExtractor. Int. J.Comput. TheoryEng. 2009,2, 69–77. [CrossRef] 51. Bokser,M.Omnidocument technologies.Proc. IEEE.1992,80, 1066–1078. [CrossRef] 52. Coates,A.; Lee,H.;Ng,A.Y.AnAnalysis of Single-LayerNetworks inUnsupervisedFeatureLearning. In Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, FortLauderdale,FL,USA,11–13April2011;pp.215–223. 53. Coates,A.; Carpenter, B.; Case,C.; Satheesh, S.; Suresh, B.;Wang, T.;Wu,D.J.; Ng,A.Y. TextDetection andCharacterRecognition inScene ImageswithUnsupervisedFeatureLearning. InProceedingsof the InternationalConferenceonDocumentAnalysisandRecognition,Beijing,China,18–21September2011; pp.440–445. 54. Shishtla,P.;Ganesh,V.S.; Subramaniam,S.;Varma,V.Alanguage-independent transliterationschemausing characteralignedmodelsatNEWS2009. InProceedingsof theAssociationforComputationalLinguistics, Suntec,Singapore,7August2009;p.40. [CrossRef] 55. Ul-Hasan,A.;Breuel,T.M.Canwebuild language-independentOCRusingLSTMnetworks? InProceedings of the4th InternationalWorkshoponMultilingualOCR,Washington,DC,USA,24August2013. 56. Ocropy: Python-BasedTools forDocumentAnalysisandOCR,2018.Availableonline: https://github.com/ tmbdev/ocropy(accessedon20February2018). 57. HomemadeManuscriptOCR(1):OCRopy,SacréGrl.Availableonline: https://graal.hypotheses.org/786 (accessedon20February2018). 58. Breuel, T.M.;Ul-Hasan,A.;Al-Azawi,M.A.; Shafait, F.High-PerformanceOCRforPrintedEnglishand FrakturUsingLSTMNetworks. InProceedingsof the12th InternationalConferenceonDocumentAnalysis andRecognition,Washington,DC,USA,25–28August2013;pp.683–687. [CrossRef] 59. Valy,D.; Verleysen,M.; Sok,K. Line SegmentationApproach forAncientPalmLeafManuscripts using Competitive LearningAlgorithm. In Proceedings of the 15th International Conference on Frontiers in HandwritingRecognition(ICFHR),Shenzhen,China,23–26October2016. 60. Saund,E.;Lin, J.; Sarkar,P.PixLabeler: User Interface forPixel-LevelLabelingofElements inDocument Images. In Proceedings of the 10th International Conference onDocumentAnalysis andRecognition, Barcelona,Spain,26–29 July2009;pp.646–650. [CrossRef] 126
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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