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