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In this paper we propose to use visualisation of word spotting results as a powerful tool to be able to manually determine in an efficient manner which found words are correct and which are incorrect. This will make it possible to quickly make a reliable transcription of each word.

  • An Intelligent User Interface for Efficient Semi-automatic Transcription of Historical Handwritten Documents, A. Hast, E. Vats. ACM Intelligent User Interface (IUI) Conference, pp. 1-2. 2018. 
    @inproceedings{Has18a, author = {A. Hast and E. Vats}, title = {An Intelligent User Interface for Efficient Semi-automatic Transcription of Historical Handwritten Documents}, booktitle = {ACM Intelligent User Interface (IUI) Conference}, pages = {1--2}, note = {Poster with Paper}, year = {2018} }

Published by Anders

Anders Hast received a PhD in Computerised Image processing at Uppsala university in 2004. In 2011 he spent one year at IIT, CNR, Pisa in Italy as an ERCIM fellow and after that he received a full time position as associate professor and in 2019 he became professor in image processing, both at Uppsala University. He has been affiliated with UPPMAX super computer centre where he worked as an application expert in Scientific Visualisation and later in the field of digital humanities together with the Centre for digital humanities in Uppsala. His recent research has focused on image processing and computer vision, for applications in microscopy, aerial photography, object recognition and especially hand written text recognition and face recognition.

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