1 Ocak 2014 Konferans bildirisi Açık Erişim

Karahan, Samil; Karaoz, Adil; Ozdemir, Omer Faruk; Gul, Ahmet Gokhan; Uludag, Umut

DataCite XML

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/99211</identifier>
  <creators>
    <creator>
      <creatorName>Karahan, Samil</creatorName>
      <givenName>Samil</givenName>
      <familyName>Karahan</familyName>
      <affiliation>Gebze Inst Technol, Dept Comp Engn, TR-41400 Gebze, Kocaeli, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Karaoz, Adil</creatorName>
      <givenName>Adil</givenName>
      <familyName>Karaoz</familyName>
      <affiliation>Gebze Inst Technol, Dept Comp Engn, TR-41400 Gebze, Kocaeli, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Ozdemir, Omer Faruk</creatorName>
      <givenName>Omer Faruk</givenName>
      <familyName>Ozdemir</familyName>
      <affiliation>Gebze Inst Technol, Dept Comp Engn, TR-41400 Gebze, Kocaeli, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Gul, Ahmet Gokhan</creatorName>
      <givenName>Ahmet Gokhan</givenName>
      <familyName>Gul</familyName>
      <affiliation>Gebze Inst Technol, Dept Comp Engn, TR-41400 Gebze, Kocaeli, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Uludag, Umut</creatorName>
      <givenName>Umut</givenName>
      <familyName>Uludag</familyName>
      <affiliation>TUBITAK BILGEM, TR-41470 Gebze, Kocaeli, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>On Identification From Periocular Region Utilizing Sift And Surf</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2014</publicationYear>
  <dates>
    <date dateType="Issued">2014-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/99211</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.81043/aperta.99210</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.81043/aperta.99211</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">We concentrate on utilization of facial periocular region for biometric identification. Although this region has superior discriminative characteristics, as compared to mouth and nose, it has not been frequently used as an independent modality for personal identification. We employ a feature-based representation, where the associated periocular image is divided into left and right sides, and descriptor vectors are extracted from these using popular feature extraction algorithms SIFT, SURF, BRISK, ORB, and LBP. We also concatenate descriptor vectors. Utilizing FLANN and Brute Force matchers, we report recognition rates and ROC. For the periocular region image data, obtained from widely used FERET database consisting of 865 subjects, we obtain Rank-1 recognition rate of 96.8% for full frontal and different facial expressions in same session cases. We include a summary of existing methods, and show that the proposed method produces lower/comparable error rates with respect to the current state of the art.</description>
  </descriptions>
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