Image objects and multi-scale features for annotation detection
- 1 December 2008
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2008 19th International Conference on Pattern Recognition
- No. 10514651,p. 1-5
- https://doi.org/10.1109/icpr.2008.4761932
Abstract
This paper investigates several issues in the problem of detecting handwritten markings, or annotations, on printed documents. One issue is to define the appropriate units over which to perform feature measurements and assign type labels. We propose an alpha-shape tree that operates across multiple scales. A second issue is to devise image features that offer inferential power for machine learning algorithms. We report on a feature that measures edge turn statistics. A third issue is how to combine local and neighborhood evidence. We exploit the alpha shape tree in a direct inference architecture. Information propagation schemes such as Markov random fields may be readily layered on top of our output.Keywords
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