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Transforming scholarship in the archives through handwritten text recognition.

Günter MühlbergerLouise SeawardMelissa TerrasSofia Ares OliveiraVicente BoschMaximilian BryanSebastian ColuttoHervé DéjeanMarkus DiemStefan FielBasilis GatosAlbert GreinoeckerTobias GrüningGünter HacklVili HaukkovaaraGerhard HeyerLauri HirvonenTobias HodelMatti JokinenPhilip KahleMario KallioFrédéric KaplanFlorian KleberRoger LabahnEva Maria LangSören LaubeGundram LeifertGeorgios LouloudisRory McNichollJean-Luc MeunierJohannes MichaelElena MühlbauerNathanael PhilippIoannis PratikakisJoan Puigcerver PérezHannelore PutzGeorge RetsinasVerónica RomeroRobert SablatnigJoan-Andreu SánchezPhilip SchofieldGiorgos SfikasChristian SieberNikolaos StamatopoulosTobias StraußTamara TerbulAlejandro H. ToselliBerthold UlreichMauricio VillegasEnrique VidalJohanna WalcherMax WeidemannHerbert WursterKonstantinos Zagoris
Published in: J. Documentation (2019)
Keyphrases
  • handwritten text recognition
  • hidden markov models
  • handwritten text
  • digital libraries
  • metadata
  • multimedia
  • handwriting recognition
  • information retrieval
  • computer vision
  • real time