PT Unknown
AU Marçal Rusiñol
   David Aldavert
   Ricardo Toledo
   Josep Llados
TI Browsing Heterogeneous Document Collections by a Segmentation-Free Word  Spotting Method
BT 11th International Conference on Document Analysis and Recognition
PY 2011
BP 63
EP 67
DI 10.1109/ICDAR.2011.22
AB In this paper, we present a segmentation-free word spotting method that is able to deal with heterogeneous document image collections. We propose a patch-based framework where patches are represented by a bag-of-visual-words model powered by SIFT descriptors. A later refinement of the feature vectors is performed by applying the latent semantic indexing technique. The proposed method performs well on both handwritten and typewritten historical document images. We have also tested our method on documents written in non-Latin scripts.
ER