@InProceedings{DavidFernandez2014,
author="David Fernandez
and Pau Riba
and Alicia Fornes
and Josep Llados",
title="On the Influence of Key Point Encoding for Handwritten Word Spotting",
booktitle="14th International Conference on Frontiers in Handwriting Recognition",
year="2014",
pages="476--481",
optkeywords="Local descriptors",
optkeywords="Interest points",
optkeywords="Handwritten documents",
optkeywords="Word spotting",
optkeywords="Historical document analysis",
abstract="In this paper we evaluate the influence of the selection of key points and the associated features in the performance of word spotting processes. In general, features can be extracted from a number of characteristic points like corners, contours, skeletons, maxima, minima, crossings, etc. A number of descriptors exist in the literature using different interest point detectors. But the intrinsic variability of handwriting vary strongly on the performance if the interest points are not stable enough. In this paper, we analyze the performance of different descriptors for local interest points. As benchmarking dataset we have used the Barcelona Marriage Database that contains handwritten records of marriages over five centuries.",
optnote="DAG; 600.056; 600.061; 602.006; 600.077",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2460), last updated on Thu, 10 Nov 2016 12:16:17 +0100",
isbn="978-1-4799-4335-7",
issn="2167-6445",
doi="10.1109/ICFHR.2014.86",
file=":http://refbase.cvc.uab.es/files/FRF2014.pdf:PDF"
}