An Automatic Word-spotting Framework for Medieval Manuscripts

We present a completely automatic and scalable framework to perform query-by-example word-spotting on medieval manuscripts. Our system does not require any human intervention to produce a large amount of annotated training data, and it provides Computer Vision researchers and Cultural Heritage practitioners with a compact and efficient system for document analysis. We have executed the pipeline both in a single-manuscript and a cross-manuscript setup, and we have tested it on a heterogeneous set of medieval manuscripts, that includes a variety of writing styles, languages, image resolutions, levels of conservation, noise and amount of illumination and ornamentation. We also present a precision/recall based analysis to quantitatively assess the quality of the proposed algorithm.

@InProceedings{PYRG15,
  author       = {Pintus, R. and Yang, Y. and Rushmeier, H. and Gobbetti, E.},
  title        = {An Automatic Word-spotting Framework for Medieval Manuscripts},
  booktitle    = {Proc. Digital Heritage},
  month        = {september},
  year         = {2015},
  note         = {Project: Helios},
  keywords     = {medieval manuscrypt analysis},
  url          = {https://publications.crs4.it/pubdocs/2015/PYRG15},
}