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We describe the project REE-HDSC and outline our efforts to improve thequality of named entities extracted automatically from texts generated byhand-written text recognition (HTR) software. We describe a six-step processingpipeline and test it by processing 19th and 20th century death certificatesfrom the civil registry of Curacao. We find that the pipeline extracts dateswith high precision but that the precision of person name extraction is low.Next we show how name precision extraction can be improved by retraining HTRmodels with names, post-processing and by identifying and removing incorrectnames.

REE-HDSC: Recognizing Extracted Entities for the Historical Database Suriname Curacao