New QA tool for finger detection on scans

New QA tool for finger detection on scans

I would like to draw your attention to the new QA tool for finger detection on scans: This tool was developed by AIT in scope of the SCAPE project.


Checking to identify fingers on scan manually is a very time-consuming and error-prone process. You need a tool to help you: Fingerdet.

Fingerdet is an open source tool which:

  • provides decision-making support for finger on scans detection in or across collections
  • identifies fingers even independent from file format, scan quality, finger sizes, direction, shape, colour and lighting conditions
  • applies state-of-the art image processing
  • is useful in assembling collections from multiple sources, and identifying corrupted files

Fingerdet brings the following benefits:

  • Automated quality assurance
  • Reduced manual effort and error
  • Saved time
  • Lower costs, e.g. storage, effort
  • Open source, standalone tool. Also as Taverna component for easy invocation
  • Invariant to format, rotation, scale, translation, illumination, resolution, cropping, warping and distortions
  • May be applied to wide range of image collections, not just print images

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