15
edits
OCR Resources: Difference between revisions
Jump to navigation
Jump to search
m
Addition of ScioTR information as requested.
Scioqualis (talk | contribs) m (Addition of ScioTR information as requested.) |
|||
| Line 32: | Line 32: | ||
*[http://daryllafferty.com/salix SALIX] - Semi-automatic Label Information eXtraction system is designed to capture herbarium specimen label data with the use of optical character recognition technologies and transfer those data into a database. | *[http://daryllafferty.com/salix SALIX] - Semi-automatic Label Information eXtraction system is designed to capture herbarium specimen label data with the use of optical character recognition technologies and transfer those data into a database. | ||
* | * [http://www.sciotr.com ScioTR] - A new touch-enabled Windows 8 app which integrates Optical Character Recognition (OCR), Natural Language Parsing (NLP) and Machine Learning (ML) to provide an efficient workflow for capturing highly-structured data from images. ScioTR allows the user to parse or excavate the image for regions of interest using a touch screen interface. By doing this, OCR, NLP and ML strategies are more effective and thus require less human interaction later in the workflow. ScioTR works best when used in concert with a commercially available OCR engine. It has some NLP and ML modules inside of it. ScioTR also allows for the configuration of a custom field set. ScioTR was presented at the SPNHC DemoCamp in 2013. The powerpoint given at the conference as well as a video of the demo is available here: [http://www.sciotr.com ScioTR.com]. You can also find more technical information our software development blog, [http://sciochronicle.blogspot.com ScioChronicle] and/or the [http://www.youtube.com/user/ScioQualis ScioQualis YouTube Channel]. We hope to have ScioTR in the Windows 8 store around the end of Jan 2014. For a good outline of the current features and user experience, take a look at the [http://www.sciotr.com/Home/Help ScioTR Help Documentation], which is still currently being compiled. | ||
== Coding Outcomes from the aOCR Hackathon (Feb 2013) == | == Coding Outcomes from the aOCR Hackathon (Feb 2013) == | ||