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SO19 Recognize inaccurate graphical image files based on a pattern-set
| Title | SO19 Recognize inaccurate graphical image files based on a pattern-set |
| Detailed description | A possible solution is to set up a training-set of inaccurate scanned image files (cropping, or other bad image quality) and then compare image files (e.g. new versions of scanned book pages) with the training-set to detect bad image quality. Based on the result, a decision on which version of a scan should be kept, can be taken programmatically. Details will follow. |
| Solution Champion |
Who owns the Solution? Identify the owner with a link to their contact page on the SCAPE Sharepoint site, as well as identifying their institution in brackets. Eg: Schlarb Sven |
| Corresponding Issue(s) |
A bulletted list of links to Issues to which this provides a Solution |
| myExperiment Link |
A link to a corresponding workflow on myExperiment |
| Tool Registry Link |
A link to information about the tool itself. Ideally this should point to an entry in the OPF Tool Registry |
| Evaluation |
Any notes or links on how the solution performed. This will be developed and formalised by the Testbed SP. |