Study of the Influence of Lexicon and Language Restrictions on Computer Assisted Transcription of Historical Manuscripts

Neurocomputing(2020)

引用 6|浏览4493
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摘要
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.
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关键词
Handwritten text recognition,Deep learning,Interactive transcription
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