Page - 59 - in Document Image Processing

J. Imaging 2018,4, 57 17. Garz,A.;Sablatnig,R.;Diem,M.Layoutanalysis forhistoricalmanuscriptsusingsift featuresDocument. In Proceedings of the 2011 International Conference onDocumentAnalysis andRecognition (ICDAR), Beijing,China,18–21September2011. 18. Garz,A.;Sablatnig,R.;Diem,M.UsingLocalFeatures forEfficientLayoutAnalysisofAncientManuscripts. InProceedingsof theEuropeanSignalProcessingConference,Barcelona,Spain,29Auguat–2September 2011;pp. 1259–1263. 19. Wang,D.;Nihari, S.N.Classificationofnewspaper imageblocksusingtextureanalysis.Comput.Vis.Graph. ImageProcess1989,47, 327–352. 20. Belaïd,A.;Santosh,K.C.;d’Andecy,V.P.HandwrittenandPrintedTextSeparation inRealDocument. arXiv 2013, arXiv:1303.4614. 21. Nanni, L.; Lumini, A.; Brahnam, S. Survey on LBP based texture descriptors for image classification. ExpertSyst.Appl.2012,39, 3634–3641. 22. Ojala,T.;Pietikainen,M.;Maenpaa,T.Multiresolutiongray-scaleandrotation invariant textureclassification with localbinarypatterns. IEEETrans. PatternAnal.Mach. Intell. 2002,24, 971–987. 23. Jin, H.; Liu, Q.; Lu, H.; Tong, X. Face detection using improved LBP under Bayesian framework. InProceedingsof theThirdInternationalConferenceonImageandGraphics (ICIG), HongKong,China, 18–20December2004;pp. 306–309. 24. Heikkila,M.;Pietikainen,M.Atexture-basedmethodformodelingthebackgroundanddetectingmoving objects. IEEETrans. PatternAnal.Mach. Intell. 2006,28, 657–662. 25. Harwood,D.;Ojala, T.; Pietikäinen,M.;Kelman, S.;Davis, L.Texture classificationbycenter-symmetric auto-correlation,usingKullbackdiscriminationofdistributions.PatternRecognit. Lett. 1995,16, 1–10. 26. Ojala,T.;Pietikäinen,M.;Harwood,D.Acomparativestudyof texturemeasureswithclassificationbasedon featureddistributions.PatternRecognit. 1996,29, 51–59. 27. Das, B.; Bhowmik, S.; Saha,A.; Sarkar,R.AnAdaptiveForeground-BackgroundSeparationMethod for EffectiveBinarizationofDocument Images. InEighth InternationalConferenceonSoftComputingandPattern Recognition; Springer:Cham,Switzerland,2016. 28. Witten, I.H.; Frank, E.;Hall,M.A.; Pal, C.J. TheWEKAWorkbench. OnlineAppendix forDataMining: PracticalMachineLearningTools andTechniques, 4thed.;MorganKaufmann: Burlington,MA,USA,2016. 29. Sah, K.A.; Bhowmik, S.; Malakar, S.; Sarkar, R.; Kavallieratou, E.; Vasilopoulos, N. Text and non-text recognitionusingmodifiedHOGdescriptor. InProceedingsof the IEEECalcuttaConference (CALCON), Kolkata, India,2–3December2017;doi:10.1109/CALCON.2017.8280697 30. Obaidullah, S.M.; Santosh,K.C.;Halder, C.; Das,N.; Roy,K.Automatic Indic script identification from handwrittendocuments: Page,block, lineandword-levelapproach. Int. J.Mach. Learn. Cyber2017, 1–20, doi:10.1007/s13042-017-0702-8 c©2018bytheauthors. LicenseeMDPI,Basel,Switzerland. Thisarticle isanopenaccess articledistributedunder the termsandconditionsof theCreativeCommonsAttribution (CCBY) license (http://creativecommons.org/licenses/by/4.0/). 59