Vicki’s note – here’s to the future of Handwritten Text Recognition (HTR). What exciting possibilities are awaiting us in the future technologies to assist genealogy research. This works better than Optical Character Recognition (OCR) and will enable keyword searches of handwritten material.
March 15, 2018
Article from Adam Matthew Digital, a Sage Company:
Handwritten Text Recognition (HTR)
Artificial intelligence transforms discoverability of handwritten manuscripts.
“Handwritten Text Recognition is going to transform scholarship and the types of questions researchers can ask. The technology has tremendous potential.”
Dr Patrick Spero, Director, American Philosophical Society Library
Adam Matthew Digital is currently the only publisher to utilize artificial intelligence to offer Handwritten Text Recognition (HTR) for its handwritten manuscript collections.
The HTR application takes advantage of the latest advances in neural networks and uses complex algorithms to determine probable combinations of characters to find the search term.
This enables relevant handwritten text to be identified at document level with automated searches deployed through the metadata, allowing users to easily navigate between highlighted search results.