December 30, 2019 Journal article Open Access

Telugu Maddileti; G. Shriphad Rao; Vaddemani Sai Madhav; Ganti Sharan

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  <dc:contributor>Blue Eyes Intelligence Engineering  &amp; Sciences Publication(BEIESP)</dc:contributor>
  <dc:creator>Telugu Maddileti</dc:creator>
  <dc:creator>G. Shriphad Rao</dc:creator>
  <dc:creator>Vaddemani Sai Madhav</dc:creator>
  <dc:creator>Ganti Sharan</dc:creator>
  <dc:date>2019-12-30</dc:date>
  <dc:description>Face is the easiest way to penetrate each other's personal identity. Face recognition is a method of personal identification using the personal characteristics of an individual to decide the identification of a person. The method of human face recognition consists basically of two levels, namely face detection and face recognition. There are three types of methods that are currently popular in the developed face recognition pattern, those are Eigen faces algorithm, Fisher faces algorithm and CNN neural network for face recognition</dc:description>
  <dc:identifier>https://zenodo.org/record/5602630</dc:identifier>
  <dc:identifier>10.35940/ijeat.B3917.129219</dc:identifier>
  <dc:identifier>oai:zenodo.org:5602630</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>issn:2249-8958</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:source>International Journal of Engineering and Advanced Technology (IJEAT) 9(2) 678-682</dc:source>
  <dc:subject>Face recognition, Face-detection, Eigen-faces, Fisher-faces, CNN, neural network, Residual network.</dc:subject>
  <dc:subject>ISSN</dc:subject>
  <dc:subject>Retrieval Number</dc:subject>
  <dc:title>Home Security using Face Recognition  Technology</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
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