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: https://github.com/openplanets/finger-detection-tool. 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