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J. Imaging 2018,4, 39 29. Lee,D.ATheoryofClassifierCombination: TheNeuralNetworkApproach. Ph.D.Thesis,StateUniversity ofNewYork,Buffalo,NY,USA,1995. 30. Singh, P.K.; Mondal, A.; Bhowmik, S.; Sarkar, R.; Nasipuri, M. Word-level Script Identification from Multi-scriptHandwrittenDocuments. InProceedingsof the3rdInternationalConferenceonFrontiers inIntelligent ComputingTheoryandApplications (FICTA); Springer:Cham,Switzerland,2014;AISCVolume1,pp.551–558. 31. Dalal,N.;Triggs,B.HistogramsofOrientedGradients forHumanDetection. InProceedingsof the IEEE ComputerSocietyConferenceonComputerVisionandPatternRecognition(CVPR),SanDiego,CA,USA, 20–25 June2005;pp.886–893. 32. Daugman, J.G.Uncertaintyrelationfor resolution inspace, spatial-frequencyandorientationoptimizedby two-dimensionalvisualcorticalfilters. J.Opt. Soc.Am. 1985,2, 1160–1169. [CrossRef] 33. Gonzalez,R.C.;Woods,R.E.Digital ImageProcessing;Prentice-Hall: India,1992;VolumeI. 34. Singh, P.K.; Sarkar, R.; Nasipuri, M. Correlation Based Classifier Combination in the field of Pattern Recognition.Comput. Intell. 2017. [CrossRef] 35. Tulyakov,S.; Jaeger,S.;Govindaraju,V.;Doermann,D.Reviewofclassifiercombinationmethods. InMachine Learning inDocumentAnalysis andRecognition; Springer: Berlin/Heidelberg,Germany,2008;pp.361–386. 36. Kittler, J.CombiningClassifiers:ATheoreticalFramework.PatternAnal.Appl. 1998,1, 18–27. [CrossRef] 37. VanErp,M.;Vuurpijl,L.G.; Schomaker,L.AnOverviewandComparisonofVotingMethods forPattern Recognition. InProceedingsof the8th InternationalWorkshoponFrontiers inHandwritingRecognition (IWFHR-8),Niagara-on-the-Lake,ON,Canada;2002;pp.195–200. 38. Kittler, J.;Hatef,M.;Duin,R.;Matas, J.Oncombiningclassifiers. IEEETrans. PatternAnal.Mach. Intell. 1998, 20, 226–239. [CrossRef] 39. Shafer,G.AMathematicalTheoryofEvidence;PrincetonUniversityPress: Princeton,NJ,USA,1976. 40. Yager, R.R.On theDempster-Shafer framework andnewcombination rules. Inf. Sci. 1987, 41, 93–137. [CrossRef] 41. Basu,S.; Sarkar,R.;Das,N.;Kundu,M.;Nasipuri,M.;Basu,D.K.HandwrittenBanglaDigitRecognition UsingClassifierCombinationthroughDSTechnique. InProceedingsof the1st InternationalConferenceon PatternRecognitionandMachine Intelligence (PReMI),Kolkata, India,20–22December2005;pp.236–241. 42. Shoyaib,M.;Abdullah-Al-Wadud,M.;Chae,O.ASkindetectionapproachbasedontheDempster-Shafer theoryofevidence. Int. J.Approx. Reason. 2012,53, 636–659. [CrossRef] 43. Ni, J.;Luo, J.;Liu,W.3DPalmprintRecognitionUsingDempster-ShaferFusionTheory. J. Sens. 2015,2015, 7. [CrossRef] 44. Singh,P.K.;Chowdhury,S.P.; Sinha,S.; Eum,S.; Sarkar,R.Page-to-WordExtraction fromUnconstrained HandwrittenDocument Images. InProceedingsof the1st InternationalConferenceon IntelligentComputingand Communication (ICIC2); Springer: Singapore,2016;AISCVolume458,pp.517–524. 45. Zhang, B.; Srihari, S.N. Class-wise multi-classifier combination based on Dempster-Shafer theory. In Proceedings of the 7th IEEE International Conference onControl, Automation, Robotics andVision (ICARCV2002),Singapore,2–5December2002;Volume2. ©2018bytheauthors. LicenseeMDPI,Basel,Switzerland. Thisarticle isanopenaccess articledistributedunder the termsandconditionsof theCreativeCommonsAttribution (CCBY) license (http://creativecommons.org/licenses/by/4.0/). 170
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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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