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TUBITAK TURKISH - OTTOMAN HANDWRITTEN RECOGNITION SYSTEM

Aydemir, M. Said; Aydin, Burak; Kaya, Hamza; Karliaga, Ibrahim; Demir, Cemil


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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/99105</identifier>
  <creators>
    <creator>
      <creatorName>Aydemir, M. Said</creatorName>
      <givenName>M. Said</givenName>
      <familyName>Aydemir</familyName>
      <affiliation>TUBITAK BILGEM BTE, Konusma &amp; Dogal Dil Isleme Teknol Lab, Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Aydin, Burak</creatorName>
      <givenName>Burak</givenName>
      <familyName>Aydin</familyName>
      <affiliation>TUBITAK BILGEM BTE, Konusma &amp; Dogal Dil Isleme Teknol Lab, Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Kaya, Hamza</creatorName>
      <givenName>Hamza</givenName>
      <familyName>Kaya</familyName>
      <affiliation>TUBITAK BILGEM BTE, Konusma &amp; Dogal Dil Isleme Teknol Lab, Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Karliaga, Ibrahim</creatorName>
      <givenName>Ibrahim</givenName>
      <familyName>Karliaga</familyName>
      <affiliation>TUBITAK BILGEM BTE, Konusma &amp; Dogal Dil Isleme Teknol Lab, Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Demir, Cemil</creatorName>
      <givenName>Cemil</givenName>
      <familyName>Demir</familyName>
      <affiliation>TUBITAK BILGEM BTE, Konusma &amp; Dogal Dil Isleme Teknol Lab, Istanbul, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Tubitak Turkish - Ottoman Handwritten Recognition System</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/99105</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.81043/aperta.99104</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.81043/aperta.99105</relatedIdentifier>
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  <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">In this study, two different Ottoman and Turkish handwritten recognition systems have been developed using Hidden Markov Model (HMM) and Recurrent Neural Network (RNN). The systems are tested in both public use datasets and Civil Registration and Nationality (CRN) dataset.</description>
  </descriptions>
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