Seite - 169 - in Document Image Processing

J. Imaging 2018,4, 39 8. Chaudhuri,B.B.;Pal,U.AnOCRsystemtoreadtwoIndian languagescripts: BanglaandDevnagari (Hindi). InProceedingsof the4th IEEEInternationalConferenceonDocumentAnalysisandRecognition(ICDAR), Ulm,Germany,18–20August1997;pp.1011–1015. 9. Pal,U.; Sinha, S.; Chaudhuri, B.B.Word-wise Script identification fromadocument containingEnglish, DevnagariandTelguText. InProceedingsof the -SecondNationalConferenceonDocumentAnalysisand Recognition,PES,Mandya,Karnataka, India,11–12 July2003;pp.213–220. 10. Chaudhury,S.;Harit,G.;Madnani,S.; Shet,R.B. Identificationofscriptsof Indian languagesbyCombining trainable classifiers. InProceedingsof the IndianConferenceonComputerVision,Graphics and Image Processing,Bangalore, India,20–22December2000;pp.20–22. 11. Das,A.; Ferrer,M.; Pal,U.; Pal, S.; Diaz,M.; Blumenstein,M.Multi-script vs. single-script scenarios in automaticoff-linesignatureverification. IETBiom. 2016,5, 305–313. [CrossRef] 12. Diaz,M.;Ferrer,M.A.;Sabourin,R.Approachingthe Intra-ClassVariability inMulti-ScriptStaticSignature Evaluation. InProceedingsof the23rdInternationalConferenceonPatternRecognition (ICPR),Cancun, Mexico,4–8December2016;pp.1147–1152. 13. Padma,M.C.;Vijaya,P.A.GlobalApproachforScript IdentificationusingWaveletPacketBasedFeatures. Int. J.SignalProcess. ImageProcess. PatternRecognit. 2010,3, 29–40. 14. Hiremath,P.S.; Shivshankar,S.;Pujari, J.D.;Mouneswara,V.Script identification inahandwrittendocument image using texture features. In Proceedings of the 2nd IEEE International Conference on Advance Computing,Patiala, India,19–20February2010;pp.110–114. 15. Pati, P.B.; Ramakrishnan, A.G.Word levelmulti-script identification. Pattern Recognit. Lett. 2008, 29, 1218–1229. [CrossRef] 16. Dhanya,D.;Ramakrishnan,A.G.;Pati,P.B.Script identification inprintedbilingualdocuments. Sadhana 2002,27, 73–82. [CrossRef] 17. Chanda,S.;Pal,S.;Franke,K.;Pal,U.Two-stageApproachforWord-wiseScriptIdentification. InProceedings of the 10th IEEE InternationalConferenceonDocumentAnalysis andRecognition (ICDAR), Barcelona, Spain,26–29 July2009;pp.926–930. 18. Pal,U.;Chaudhuri,B.B. Identificationofdifferentscript linesfrommulti-scriptdocuments. ImageVis.Comput. 2002,20, 945–954. [CrossRef] 19. Pal,U.;Sinha,S.;Chaudhuri,B.B.Multi-ScriptLine identificationfromIndianDocuments. InProceedingsof the7thIEEEInternationalConferenceonDocumentAnalysisandRecognition(ICDAR),Edinburgh,UK, 6August2003;pp.880–884. 20. Singh,P.K.;Chatterjee, I.; Sarkar,R.Page-levelHandwrittenScript IdentificationusingModifiedlog-Gabor filter based features. In Proceedings of the 2nd IEEE International Conference on Recent Trends in InformationSystems(ReTIS),Kolkata, India,9–11 July2015;pp.225–230. 21. Singh,P.K.;Sarkar,R.;Nasipuri,M.;Doermann,D.Word-levelScript IdentificationforHandwrittenIndic scripts. InProceedingsof the13thIEEEInternationalConferenceonDocumentAnalysisandRecognition (ICDAR),Tunis,Tunisia,23–26August2015;pp.1106–1110. 22. Singh,P.K.;Das,S.; Sarkar,R.;Nasipuri,M.LineParameterbasedWord-Level IndicScript Identification System. Int. J.Comput.Vis. ImageProcess. 2016,6, 18–41. [CrossRef] 23. Nadal,C.;Legault,R.; Suen,C.Y.Complementaryalgorithmsfor the recognitionof totallyuncontrained handwritten numerals. In Proceedings of the 10th International Conference on Pattern Recognition, AtlanticCity,NJ,USA,16–21 June1990;VolumeA,pp.434–449. 24. Suen,C.Y.;Nadal,C.;Mai,T.;Legault,R.;Lam,L.Recognitionoftotallyunconstrainedhandwrittennumerals basedon the conceptofmultiple experts. InProceedingsof the InternationalWorkshoponFrontiers in HandwritingRecognition,Montreal,QC,Canada,2–3April1990;pp.131–143. 25. Ho, T.K. A Theory of Multiple Classifier Systems and Its Application to Visual Word Recognition. Ph.D.Thesis,StateUniversityofNewYork,Buffalo,NY,USA,1992. 26. Ho,T.K.;Hull, J.J.; Srihari, S.N.Decisioncombination inmultipleclassifiersystems. IEEETrans. PatternAnal. Mach. Intell. 1994,16, 66–75. 27. Xu,L.;Krzyzak,A.;Suen,C.Methodsofcombiningmultipleclassifiersandtheirapplicationstohandwritten recognition. IEEETrans. Syst.ManCybern. 1992,22, 418–435. [CrossRef] 28. Mandler, E.; Schuerman, J. Pattern Recognition and Artificial Intelligence; North-Holland: Amsterdam, TheNetherlands,1988. 169