Text Line Detection and Transcription Alignment: A Case Study on the Statuti del Doge Tiepolo

In this paper, we propose a fully automatic system for the transcription alignment of historical documents. We introduce the ‘Statuti del Doge Tiepolo’ data that include images as well as transcription from the 14th century written in Gothic script. Our transcription alignment system is based on forced alignment technique and character Hidden Markov Models and is able to efficiently align complete document pages.


Presented at:
Digital humanities, Sydney, Australia, June 29 - July 3, 2015
Year:
2015
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 Record created 2015-08-06, last modified 2018-09-13

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