@InProceedings{JonAlmazan2012,
author="Jon Almazan
and David Fernandez
and Alicia Fornes
and Josep Llados
and Ernest Valveny",
title="A Coarse-to-Fine Approach for Handwritten Word Spotting in Large Scale Historical Documents Collection",
booktitle="13th International Conference on Frontiers in Handwriting Recognition",
year="2012",
pages="453--458",
abstract="In this paper we propose an approach for word spotting in handwritten document images. We state the problem from a focused retrieval perspective, i.e. locating instances of a query word in a large scale dataset of digitized manuscripts. We combine two approaches, namely one based on word segmentation and another one segmentation-free. The first approach uses a hashing strategy to coarsely prune word images that are unlikely to be instances of the query word. This process is fast but has a low precision due to the errors introduced in the segmentation step. The regions containing candidate words are sent to the second process based on a state of the art technique from the visual object detection field. This discriminative model represents the appearance of the query word and computes a similarity score. In this way we propose a coarse-to-fine approach achieving a compromise between efficiency and accuracy. The validation of the model is shown using a collection of old handwritten manuscripts. We appreciate a substantial improvement in terms of precision regarding the previous proposed method with a low computational cost increase.",
optnote="DAG",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1983), last updated on Tue, 18 Oct 2016 13:21:50 +0200",
isbn="978-1-4673-2262-1",
doi="10.1109/ICFHR.2012.151",
file=":http://refbase.cvc.uab.es/files/AFF2012a.pdf:PDF"
}