Keyword Spotting in Handwritten Documents Using Projections of Oriented Gradients

@article{Retsinas2016KeywordSI,
  title={Keyword Spotting in Handwritten Documents Using Projections of Oriented Gradients},
  author={George Retsinas and Georgios Louloudis and Nikolaos Stamatopoulos and Basilios Gatos},
  journal={2016 12th IAPR Workshop on Document Analysis Systems (DAS)},
  year={2016},
  pages={411-416}
}
In this paper, we present a novel approach for segmentation-based handwritten keyword spotting. The proposed approach relies upon the extraction of a simple yet efficient descriptor which is based on projections of oriented gradients. To this end, a global and a local word image descriptors, together with their combination, are proposed. Retrieval is performed using to the euclidean distance between the descriptors of a query image and the segmented word images. The proposed methods have been… CONTINUE READING

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