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Purposeful Gaming: Crowdsourcing The Correction Of Ocred Text In Biodiversity Heritage, Marty Schlabach
Purposeful Gaming: Crowdsourcing The Correction Of Ocred Text In Biodiversity Heritage, Marty Schlabach
Upstate New York Science Librarians Conference
Optical Character Recognition (OCR) of scanned text enables full-text searching. Unfortunately, OCR software does not produce 100% accurate representation of the text, especially with older works having varying fonts, odd layouts and ink bleed-through. Led by Missouri Botanical Garden, and partnering with New York Botanical Garden, Harvard Museum of Comparative Zoology and Cornell, an IMLS-funded project has developed 2 games to engage the public in correcting inaccurately OCRed text in BHL.