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<title><![CDATA[Ethnicity Classification Based on Facial Features Using Viola-Jones Algorithm]]></title>
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<namePart>Felix Indra Kurniadi</namePart>
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<dateIssued><![CDATA[2020]]></dateIssued>
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<note>Ethnicity  information  is  an  aspect  of  human identity. Ethnicity holds the same importance in human identity as gender or age. In this paper, we will propose a  new  approach  to  classify  Indonesian  Races,  especially Western  Indonesian  (Java  and  Sumatra)  and  Eastern Indonesian (Papua  and Nusa Tenggara).  We implement two major  steps  for  this  research,  the  first  step  is  face detection   using   the   Viola-Jones   Algorithm   and   the second  step  is  the  classification  process  using  Support Vector    Machine    and    K-Nearest    Neighbour.    Our proposed  approaches  give  good  results,  with  the  bestresult is 81% using YCbCr color space.</note>
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