Paper Info
Title
Study of the Influence of Lexicon and Language Restrictions on Computer Assisted Transcription of Historical Manuscripts
Abstract
State-of-the-art Handwritten Text Recognition (HTR) systems allow transcribers to speed-up the transcription of handwritten text images. These systems provide transcribers an initial draft transcription that can be corrected with less effort than transcribing the handwritten text images from scratch. Currently, even the draft transcriptions offered by the most advanced HTR systems contain errors. Therefore, the supervision of this draft by a human transcriber is still necessary to obtain the correct transcription of the handwritten text images. This supervision can be eased by using interactive and assistive transcription systems, where the transcriber and the automatic system cooperate in the amending process.
Year
DOI
Venue
2020
10.1016/j.neucom.2020.01.081
Neurocomputing
Keywords
DocType
Volume
Handwritten text recognition,Deep learning,Interactive transcription
Journal
390
ISSN
Citations 
PageRank 
0925-2312
0
0.34
References 
Authors
33
3
Name
Order
Citations
PageRank
Emilio Granell1426.80
Verónica Romero225928.31
Carlos D. Martínez-Hinarejos33810.86