Seite - 70 - in Document Image Processing
Bild der Seite - 70 -
Text der Seite - 70 -
J. Imaging 2018,4, 6
7. Falikman,M.V.Word superiority effects across thevarieties of attention. J. Rus. East Eur. Psychol 2011,
49, 45â61.
8. Srimany,A.; Chowdhuri, S.D.; Bhattacharya,U.; Parui, S.K.Holistic recognition of online handwritten
wordsbasedonanensembleofsvmclassiïŹers. InProceedingsof the11th IAPRInternationalWorkshopon
DocumentAnalysisSystems(DAS),Tours,France,7â10April2014;pp. 86â90.
9. Erlandson,E.J.;Trenkle, J.M.;Vogt,R.C.Word-levelrecognitionofmultifontArabictextusingafeaturevector
matchingapproach. InProceedingsoftheInternationalSocietyforOpticsandPhotonics ,SanJose,CA,USA,
7March1996;Volume2660,pp.147â166.
10. Al-Badr,B.;Haralick,R.M.Asegmentation-freeapproachto text recognitionwithapplication toArabic text.
Int. J.Doc.Anal. Recognit. 1998,1, 147â166.
11. Khorsheed,M.S.;Clocksin,W.F.Multi-fontArabicwordrecognitionusingspectralfeatures. InProceedingsof
the15thInternationalConferenceonPatternRecognition(ICPR-2000),Barcelona,Spain,3â7September2000;
pp. 543â546.
12. Khorsheed,M.AlexiconbasedsystemwithmultiplehmmstorecognisetypewrittenandhandwrittenArabic
words. InProceedingsof the17thNationalComputerConference,Madinah,SaudiArabia,5â8April2004;
pp. 613â621.
13. Khorsheed, M.S. OfïŹine recognition of omnifont Arabic text using the HMM ToolKit (HTK).
PatternRecognit. Lett.2007,28, 1563â1571.
14. Krayem, A.; Sherkat, N.; Evett, L.; Osman, T. Holistic Arabic whole word recognition using HMM
andblock-basedDCT. InProceedings of the 12th InternationalConference onDocumentAnalysis and
Recognition(DAR),Washington,DC,USA,25â28August2013;pp. 1120â1124.
15. Nasrollahi,S.;Ebrahimi,A.Printedpersiansubwordrecognitionusingwaveletpacketdescriptors. J.Eng.
2013,2013,doi:10.1155/2013/465469.
16. Slimane, F.; Kanoun, S.; El Abed, H.; Alimi, A.M.; Ingold, R.; Hennebert, J. ICDAR2013 competition
onmulti-font andmulti-size digitally represented arabic text. In Proceedings of the 12th International
ConferenceonDocumentAnalysisandRecognition(ICDAR),Washington,DC,USA,25â28August2013;
pp.1433â1437.
17. Slimane,F.; Ingold,R.;Kanoun,S.;Alimi,A.M.;Hennebert, J.Anewarabicprinted text imagedatabase
andevaluationprotocols. InProceedingsof the10thInternationalConferenceonDocumentAnalysisand
Recognition(ICDAR),Barcelona,Spain,26â29 July2009;pp.946â950.
18. Zagoris,K.;Ergina,K.;Papamarkos,N.Adocument imageretrieval system.Eng.Appl.Artif. Intell. 2010,
23, 1563â1571.
19. Linde,Y.;Buzo,A.;Gray,R.Analgorithmforvectorquantizerdesign. IEEETrans. Commun. 1980,28, 84â95.
20. ArabicGigawordFifthEdition.Availableonline: https://catalog.ldc.upenn.edu/LDC2003T12(accessedon
1March2014).
21. Rashwan,M.A.A.;Al-Badrashiny,M.A.;Attia,M.;Abdou,S.M.;Rafea,A.AstochasticArabicdiacritizer
basedonahybridof factorizedandun-factorizedtextual features. IEEETrans.AudioSpeechLang.Proc. 2011,
19, 166â175.
c©2018bytheauthors. LicenseeMDPI,Basel,Switzerland. Thisarticle isanopenaccess
articledistributedunder the termsandconditionsof theCreativeCommonsAttribution
(CCBY) license (http://creativecommons.org/licenses/by/4.0/).
70
zurĂŒck zum
Buch Document Image Processing"
Document Image Processing
- Titel
- Document Image Processing
- Autoren
- Ergina Kavallieratou
- Laurence Likforman-Sulem
- Herausgeber
- MDPI
- Ort
- Basel
- Datum
- 2018
- Sprache
- deutsch
- Lizenz
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03897-106-1
- Abmessungen
- 17.0 x 24.4 cm
- Seiten
- 216
- Schlagwörter
- 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
- Kategorie
- Informatik