Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Indian Sign Language Recognition Using Eigen Value Weighted Euclidean
  Distance Based Classification Technique   Sign Language Recognition is one of the most growing fields of research
today. Many new techniques have been developed recently in these fields. Here
in this paper, we have proposed a system using Eigen value weighted Euclidean
distance as a classification technique for recognition of various Sign
Languages of India. The system comprises of four parts: Skin Filtering, Hand
Cropping, Feature Extraction and Classification. Twenty four signs were
considered in this paper, each having ten samples, thus a total of two hundred
forty images was considered for which recognition rate obtained was 97 percent.

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The categories of this paper are: q-alg
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The categories of this paper are: math-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: dg-ga
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The categories of this paper are: alg-geom
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The categories of this paper are: atom-ph
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The categories of this paper are: acc-phys
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The categories of this paper are: supr-con
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The categories of this paper are: gr-qc
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The categories of this paper are: plasm-ph
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The categories of this paper are: q-fin
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The categories of this paper are: bayes-an
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The categories of this paper are: nlin
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The categories of this paper are: chao-dyn
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The categories of this paper are: mtrl-th
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The categories of this paper are: ao-sci