3 papers
cs.CV2018
Neural Word Search in Historical Manuscript Collections
Tomas Wilkinson, Jonas Lindström, Anders Brun
We address the problem of segmenting and retrieving word images in collections of historical manuscripts given a text query. This is commonly referred to as "word spotting". To thi…
stat.ML2018
PDNet: Semantic Segmentation integrated with a Primal-Dual Network for Document binarization
Kalyan Ram Ayyalasomayajula, Filip Malmberg, Anders Brun
Binarization of digital documents is the task of classifying each pixel in an image of the document as belonging to the background (parchment/paper) or foreground (text/ink). Histo…
cs.CV2017
Neural Ctrl-F: Segmentation-free Query-by-String Word Spotting in Handwritten Manuscript Collections
Tomas Wilkinson, Jonas Lindström, Anders Brun
In this paper, we approach the problem of segmentation-free query-by-string word spotting for handwritten documents. In other words, we use methods inspired from computer vision an…