Results 51 to 60 of about 42,098,161 (146)
Handwritten Text Recognition (HTR) for Tibetan Manuscripts in Cursive Script
Revue d’Études TibétainesThe use of advanced computational methods for the analysis of digitised texts is becoming increasingly popular in humanities and social science research. One such technology is Handwritten Text Recognition (HTR), which generates transcripts from digitised texts with machine learning approaches, to enable full-text search and analysis.
+4 more sources
Studi SlavisticiThe paper highlights the recent advances of computer-assisted manuscript transcription using Handwritten Text Recognition (HTR) programs such as Transkribus.
Achim Rabus, Martin Meindl
doaj +1 more source
Hipogrifo: Revista de Literatura y Cultura del Siglo de Oro, 2023 Un elevado porcentaje de impresos y manuscritos teatrales del periodo aurisecular no ha sido nunca transcrito en un formato analógico ni, por supuesto, digital. Es imposible, por tanto, emplear estos documentos para realizar búsquedas de nuestro interés
Álvaro Cuéllar
doaj +1 more source
ICFHR2016 Competition on Handwritten Text Recognition on the READ Dataset [PDF]
, 2016 © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Toselli, Alejandro Héctor +7 more
core +1 more source
Segmentation of Thai handwritten text for automatic document retrieval [PDF]
, 2008 There is a huge amount of documents in Thai government organizations. Although automatic document image retrieval systems in English have been proposed and developed, there are no specific system which is capable to retrieve relevant information from ...
Fung, C.C., Chamchong, R.
core
Word matching using single closed contours for indexing handwritten historical documents [PDF]
, 2007 Effective indexing is crucial for providing convenient access to scanned versions of large collections of historically valuable handwritten manuscripts. Since traditional handwriting recognizers based on optical character recognition (OCR) do not perform
Murphy, Noel +4 more
core +2 more sources
Filologia GermanicaOver the past few decades, the mass digitisation of repositories has called for urgent development of computational methods to yield access to their contents.
Elisabetta Magnanti
doaj +1 more source
Text line segmentation of ancient Thai manuscripts on palm leaves [PDF]
, 2012 Segmentation of handwritten scripts with overlapping text is one of the challenging tasks in the pre-processing for document recognition and optical character recognition (OCR) systems.
Fung, C.C., Chamchong, R.
core
HTSR-Pollen: Handwritten Text Synthesis and Recognition System to Overcome Data Scarcity
IEEE AccessOffline Handwritten Text Recognition (HTR) systems recognize and transcribe handwritten text from scanned images into digital formats. The field has become important due to the need for document digitization and data entry automation in various ...
Arthur F. S. Neto +2 more
doaj +1 more source
Transcribing Medieval Manuscripts for Machine Learning [PDF]
Journal of Data Mining and Digital HumanitiesThis article focuses on the transcription of medieval manuscripts. Whereas problems of transcription have long interested medievalists, few workable options in the era of printed editions were available besides normalisation.
Estelle Guéville, David Joseph Wrisley
doaj +1 more source