Seite - 124 - in Document Image Processing

J. Imaging 2018,4, 43 andperformedtheexperiments.MadeWinduAntaraKesiman,DonaValy,andJean-ChristopheBuriecontributed topaperwritingandediting. Conflictsof Interest:Theauthorsdeclarenoconflictof interest. The foundingsponsorshadnorole in thedesign of the study; in the collection, analyses, or interpretationofdata; in thewritingof themanuscript, and in the decisiontopublish theresults. References 1. tranScriptorium.Availableonline: http://transcriptorium.eu/(accessedon20February2018). 2. READProject—Recognition and Enrichment of Archival Documents. Available online: https://read. transkribus.eu/(accessedon20February2018). 3. IAM Historical Document Database (IAM-HistDB)—Computer Vision and Artificial Intelligence. Availableonline: http://www.fki.inf.unibe.ch/databases/iam-historical-document-database (accessedon 20February2018). 4. AncientLives:Archive.Availableonline: https://www.ancientlives.org/(accessedon20February2018). 5. Document ImageAnalysis—CVISIONTechnologies. Available online: http://www.cvisiontech.com/ library/pdf/pdf-document/document-image-analysis.html (accessedon20February2018). 6. Ramteke,R.J. InvariantMomentsBasedFeatureExtractionforHandwrittenDevanagariVowelsRecognition. Int. J.Comput.Appl. 2010,1, 1–5. [CrossRef] 7. Siddharth,K.S.;Dhir,R.;Rani,R.HandwrittenGurmukhiNumeralRecognitionusingDifferentFeatureSets. Int. J.Comput.Appl. 2011,28, 20–24. [CrossRef] 8. Sharma,D.; Jhajj,P.Recognitionof IsolatedHandwrittenCharacters inGurmukhiScript. Int. J.Comput.Appl. 2010,4, 9–17. [CrossRef] 9. Aggarwal,A.; Singh,K.; Singh,K.UseofGradientTechnique forExtractingFeatures fromHandwritten GurmukhiCharactersandNumerals.ProcediaComput. Sci. 2015,46, 1716–1723. [CrossRef] 10. Lehal, G.S.; Singh, C.A.Gurmukhi script recognition system. In Proceedings of the 15th International ConferenceonPatternRecognition,Barcelona,Spain,3–7September2000;pp.557–560. 11. Rothacker, L.; Fink, G.A.; Banerjee, P.; Bhattacharya, U.; Chaudhuri, B.B. Bag-of-features HMMs for segmentation-freeBanglawordspotting. InProceedingsof the4th InternationalWorkshoponMultilingual OCR,Washington,DC,USA,24August2013;p.5. 12. AshlinDeepa,R.N.;Rao,R.R.FeatureExtractionTechniques forRecognitionofMalayalamHandwritten Characters: Review. Int. J.Adv. TrendsComput. Sci. Eng. 2014,3, 481–485. 13. Kasturi,R.;O’Gorman,L.;Govindaraju,V.Document imageanalysis: Aprimer. Sadhana2002, 27, 3–22. [CrossRef] 14. Paper History, Case Pap. Available online: http://www.casepaper.com/company/paper-history/ (accessedon20February2018). 15. Doermann,D.Handbook ofDocument ImageProcessingandRecognition; Tombre,K.,Ed.; SpringerLondon: London,UK,2014;p.1055. 16. Chamchong, R.; Fung, C.C.; Wong, K.W.Comparing Binarisation Techniques for the Processing of Ancient Manuscripts; Nakatsu,R., Tosa,N.,Naghdy, F.,Wong,K.W., Codognet, P., Eds.; SpringerBerlin: Berlin, Germany,2010;pp.55–64. 17. Kesiman,M.W.A.;Burie, J.-C.;Ogier, J.-M.;Wibawantara,G.N.M.A.;Sunarya, I.M.G.AMADI_LontarSet: TheFirstHandwrittenBalinesePalmLeafManuscriptsDataset. InProceedingsof the15th International Conference on Frontiers inHandwriting Recognition (ICFHR), Shenzhen, China, 23–26October 2016; pp.168–172. 18. The Unicode® Standard; version 9.0—Core Specification; The Unicode Consortium: MountainView,CA,USA,2016. 19. BalineseAlphabet,LanguageandPronunciation.Availableonline: http://www.omniglot.com/writing/ balinese.htm(accessedon20February2018). 20. Khmer Manuscript—Recherche. Available online: http://khmermanuscripts.efeo.fr/ (accessed on 20February2018). 124