Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Text recognition in both ancient and cartographic documents   This paper deals with the recognition and matching of text in both
cartographic maps and ancient documents. The purpose of this work is to find
similar text regions based on statistical and global features. A phase of
normalization is done first, in object to well categorize the same quantity of
information. A phase of wordspotting is done next by combining local and global
features. We make different experiments by combining the different techniques
of extracting features in order to obtain better results in recognition phase.
We applied fontspotting on both ancient documents and cartographic ones. We
also applied the wordspotting in which we adopted a new technique which tries
to compare the images of character and not the entire images words. We present
the precision and recall values obtained with three methods for the new method
of wordspotting applied on characters only.

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The categories of this paper are: cond-mat
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The categories of this paper are: comp-gas
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The categories of this paper are: gr-qc
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The categories of this paper are: econ
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The categories of this paper are: q-fin
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The categories of this paper are: adap-org
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The categories of this paper are: q-alg
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-lat
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The categories of this paper are: dg-ga
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The categories of this paper are: physics
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The categories of this paper are: math-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: nlin
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The categories of this paper are: astro-ph
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The categories of this paper are: hep-ph