|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 (ONB)|
| 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 Click here if you need to create a new Tool Registry entry
|| Any notes or links on how the solution performed. This will be developed and formalised by the Testbed SP.
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