%0 Conference Proceedings
%T On the Influence of Key Point Encoding for Handwritten Word Spotting
%A David Fernandez
%A Pau Riba
%A Alicia Fornes
%A Josep Llados
%B 14th International Conference on Frontiers in Handwriting Recognition
%D 2014
%@ 2167-6445
%@ 978-1-4799-4335-7
%F David Fernandez2014
%O DAG; 600.056; 600.061; 602.006; 600.077
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2460), last updated on Thu, 10 Nov 2016 12:16:17 +0100
%X 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.
%K Local descriptors
%K Interest points
%K Handwritten documents
%K Word spotting
%K Historical document analysis
%U http://refbase.cvc.uab.es/files/FRF2014.pdf
%U http://dx.doi.org/10.1109/ICFHR.2014.86
%P 476-481