Seite - 147 - in Document Image Processing
Bild der Seite - 147 -
Text der Seite - 147 -
J. Imaging 2018,4, 15
6. Xie,Z.;Sun,Z.; Jin,L.;Feng,Z.;Zhang,S. Fullyconvolutional recurrentnetworkforhandwrittenChinese
textrecognition. InProceedingsofthe 23rdInternationalConferenceonPatternRecognition(ICPR),Cancun,
Mexico,4â8December2016;pp. 4011â4016.
7. Bluche,T.;Messina,R. GatedConvolutionalRecurrentNeuralNetworks forMultilingualHandwriting
Recognition. InProceedingsof the13thInternationalConferenceonDocumentAnalysisandRecognition
(ICDAR),Kyoto, Japan,13â15November2017.
8. Sudholt,S.;Fink,G.A. PHOCNet:Adeepconvolutionalneuralnetworkforwordspotting inhandwritten
documents. InProceedingsof the 15thInternationalConferenceonFrontiers inHandwritingRecognition
(ICFHR),Shenzhen,China,23â26October2016;pp. 277â282.
9. Brakensiek,A.;Rottland, J.;Kosmala,A.;Rigoll,G. Off-linehandwritingrecognitionusingvarioushybrid
modeling techniquesandcharactern-grams. InProceedingsof the7th InternationalWorkshoponFrontiers
inHandwrittenRecognition,Amsterdam,TheNetherlands,11â13September2000;pp. 343â352.
10. Fischer,A.; Frinken,V.; Bunke,H.; Suen,C.Y. Improvinghmm-basedkeyword spottingwith character
languagemodels. In Proceedings of the 12th International Conference onDocument Analysis and
Recognition(ICDAR),Washington,DC,USA,25â28August2013;pp. 506â510.
11. Santoro,A.;Parziale,A.;Marcelli,A.AHumanintheLoopApproachtoHistoricalHandwrittenDocuments
Transcription. InProceedingsof the 15th InternationalConferenceonFrontiers inHandwritingRecognition
(ICFHR),Shenzhen,China,23â26October2016;pp. 222â227.
12. Stefano, C.D.; Marcelli, A.; Parziale, A.; Senatore, R. Reading CursiveHandwriting. In Proceedings
of the 12th International Conference on Frontiers in Handwriting Recognition, Kolkata, India,
16â18November2010;pp. 95â100.
13. Oprean, C.; Likforman-Sulem, L.; Popescu, A.; Mokbel, C. Handwrittenword recognition usingWeb
resourcesandrecurrentneuralnetworks. Int. J.Doc.Anal. Recognit. (IJDAR)2015,18, 287â301.
14. Frinken,V.;Fischer,A.;MartĂnez-Hinarejos,C.D.Handwritingrecognition inhistoricaldocumentsusing
very largevocabularies. InProceedingsof the2ndInternationalWorkshoponHistoricalDocument Imaging
andProcessing,Washington,DC,USA,24August2013;pp. 67â72.
15. Swaileh, W.; Paquet, T. Handwriting RecognitionwithMulti-gram languagemodels. In Proceedings
of the 14h International Conference on Document Analysis and Recognition (ICDAR), Kyoto, Japan,
10â15November2017.
16. Kozielski, M.; Rybach, D.; Hahn, S.; SchlĂŒter, R.; Ney, H. Open vocabulary handwriting recognition
using combined word-level and character-level language models. In Proceedings of the 2013
InternationalConferenceonAcoustics,SpeechandSignalProcessing(ICASSPâ13),Vancouver,BC,Canada,
26â31May2013;pp. 8257â8261.
17. Messina, R.; Kermorvant, C. Over-generative ïŹnite state transducer n-gram for out-of-vocabulary
wordrecognition. InProceedingsof the 11th IAPRInternationalWorkshoponDocumentAnalysisSystems
(DAS),Tours,France,7â10April2014;pp. 212â216.
18. Shi,B.;Bai,X.;Yao,C.Anend-to-endtrainableneuralnetworkfor image-basedsequencerecognitionandits
applicationtoscene text recognition. IEEETrans. PatternAnal.Mach. Intell. 2017,39, 2298â2304.
19. Serrano,N.;Castro,F.; Juan,A. TheRODRIGODatabase. InProceedingsof the7thInternationalConference
onLanguageResourcesandEvaluation(LREC),Valletta,Malta,17â23May2010;pp. 2709â2712.
20. PatternRecognitionandHumanLanguageTechnology(PRHLT)ResearchCenter.2018.Availableonline:
https://www.prhlt.upv.es (accessedon5January2018).
21. Fischer, A. Handwriting Recognition in Historical Documents. Ph.D. Thesis, University of Bern,
Bern,Switzerland,2012.
22. Michel, J.B.; Shen, Y.K.; Aiden, A.P.; Veres, A.; Gray, M.K.; Brockman, W.; Team, T.G.B.; Pickett, J.P.;
Hoiberg,D.;Clancy,D.; et al. Quantitativeanalysisof cultureusingmillionsofdigitizedbooks. Science
2010,331, 176â182.
23. Pastor,M.;Toselli,A.H.;Vidal,E. ProjectionproïŹlebasedalgorithmforslant removal. InLectureNotes in
ComputerScience,Proceedingsof the InternationalConferenceon ImageAnalysis andRecognition (ICIARâ04),Porto,
Portugal, 29Septemberâ1October2004; Springer: Berlin,Germany,2004;Volume3212,pp. 183â190.
147
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