Page - 58 - in Document Image Processing

J. Imaging 2018,4, 57 ILBP ImprovedLocalBinaryPattern RILBP RotationInvariantLocalBinaryPattern ULBP UniformLocalBinaryPattern RIULBP RotationInvariantUniformLocalBinaryPattern RULBP RobustUniformLocalBinaryPattern NB NaiveBayes MLP MultilayerPerceptron SMO SequentialMinimalOptimization k-NN k-NearestNeighbors RF RandomForest References 1. Santosh,K.C.;Wendling,L.Character recognitionbasedonnon-linearmulti-projectionprofilesmeasure. Front. Comput. Sci. 2015,9, 678–690. 2. Santosh,K.C.; Iwata,E.Stroke-BasedCursiveCharacterRecognition. InAdvances inCharacterRecognition; InTechOpen: London,UK, 2012;Chapter10. 3. Santosh,K.C.;Nattee,C.;Lamiroy,B.RelativePositioningOfStroke-basedClustering:ANewApproach To Online Handwritten Devnagari Character Recognition. Int. J. Image Graph. 2012, 12, 1250016, doi:10.1142/S0219467812500167. 4. Oyedotun, O.K.; Khashman, A. Document segmentation using textural features summarization and feedforwardneuralnetwork.Appl. Intell. 2016,45, 198–212. 5. Le,V.P.;Nayef,N.;Visani,M.;Ogier, J.-M.;DeTran,C.Textandnon-text segmentationbasedonconnected component features. InProceedingsof the201513thInternationalConferenceonDocumentAnalysisand Recognition(ICDAR),Tunis,Tunisia,23–26August2015;Volume 45,pp. 1096–1100. 6. Tran, T.-A.;Na, I.-S.; Kim, S.-H. SeparationofText andNon-text inDocumentLayoutAnalysis usinga RecursiveFilter.KSIITrans. Internet Inf. Syst. 2015,9, 4072–4091. 7. Sarkar,R.;Moulik,S.;Das,N.;Basu,S.;Nasipuri,M.;Kundu,M.Suppressionofnon-textcomponents in handwrittendocument images. InProceedingsof the2011 InternationalConferenceonImageInformation Processing(ICIIP), Shimla, India,3–5November2011;pp. 1–7. 8. Bhowmik, S.; Sarkar, R.; Nasipuri,M.Text andNon-text Separation inHandwrittenDocument Images UsingLocalBinaryPatternOperator. In InternationalConferenceon IntelligentComputingandCommunication; Springer: Singapore,2017;pp. 507–515. 9. Santosh,K.C.g-DICE:Graphmining-baseddocument informationcontentexploitation. Int. J.Doc.Anal. Recognit. IJDAR2015,18, 337–335,doi:10.1007/s10032-015-0253-z. 10. Santosh, K.C.Complex andCompositeGraphical SymbolRecognition andRetrieval: AQuickReview. In International Conference on Recent Trends in Image Processing and Pattern Recognition; Springer: Singapore,2016. 11. Vil’kin,A.M.; Safonov, I.V.; Egorova,M.A.Algorithm for segmentationof documents basedon texture features.PatternRecognit. ImageAnal. 2013,23, 153–159. 12. Park,H.C.;Ok,S.Y.;Cho,H.Wordextractionintext/graphicmixedimageusing3-dimensionalgraphmodel. InProceedingsof the ICCPOL,Tokushima, Japan,24–26March1999;Volume99,pp. 171–176. 13. Shih, F.Y.; Chen, S.-S.Adaptivedocumentblock segmentationandclassification. IEEETrans. Syst. Man Cybern. PartB1996,26, 797–802. 14. Antonacopoulos,A.;Ritchings,T.R.;DeTran,C.Representationandclassificationofcomplex-shapedprinted regionsusingwhite tiles. InProceedingsof theThirdInternationalConferenceonDocumentAnalysisand Recognition,Montreal,QC,Canada,14–16August1995;Volume2,pp. 1132–1135. 15. Pintus,R.;Yang,Y.;Rushmeier,H.ATHENA:Automatic textheightextractionfor theanalysisof text lines inoldhandwrittenmanuscripts. J.Comput. Cult.Herit. 2015,8, 1. 16. Yang, Y.; Pintus, R.; Gobbetti, E.; Rushmeier,H.Automatic single page-based algorithms formedieval manuscriptanalysis. J.Comput. Cult.Herit. 2017,10, 9. 58