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A2iA DocumentReader Drives Records Management Solution For Yale University
March 4, 2008
Case Study: A2iA DocumentReader Drives Records Management Solution For Yale University
Specimen collections are the primary research archives documenting the biological diversity of plants and animals on this planet. Information from specimens is fundamental to biodiversity research, education and natural resource management. Digital technology greatly facilitates information retrieval from globally distributed natural history collections. Currently, however, most of the 2.5 billion collections worldwide remain unavailable in the electronic domain. More than 100 million botanical specimens in herbaria are no exception, with less than five percent data records digitized.
Specimens in the Yale University Herbarium collection date as far back as 160 years, making it an important national historical collection. Yale required a solution that would make 350,000 specimen labels searchable by scientists and educators at a global level, without incurring vast amounts of manual labor to key the historical data.
The team at the Yale University Peabody Museum of Natural History, headed by Dr. Beaman, who is responsible for overseeing this project, turned to A2iA Corporation for an application that would overcome the challenges presented by different sized specimen labels, unstructured formats and very old cursive handwriting. A worldwide leading developer of Intelligent Document Recognition and Intelligent Word Recognition technologies, A2iA technologies classify paper documents of all sizes and extract key information from them - even text written in unconstrained handprint and cursive handwriting.
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