Service: Natural language processing for Land Registry documentation in Sweden

Responsible organisation: Swedish Land Registry (Central-Government)

The handwritten documents were of low quality and resolution which made analysis challenging. To fix this, the SLR carried out pre-processing work on the handwritten documents to improve the quality of the input data. The SLR then used handwritten text recognition (HTR) to extract information from the handwritten documents. The SLR then used a neural network to apply word corrections and associations to complete any sentences with words not captured by HTR. Once SLR had extracted the text, they used an AI model to highlight key features in the document, for example location, names and summary.

Additional information

Source Open Innovation Regione Lombardia
Start/end date 2019 -
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