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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010604</journal-id>
      <journal-title>Electronic Imaging</journal-title>
      <issn pub-type="ppub">2470-1173</issn><issn pub-type="epub"></issn>
      <publisher>
        <publisher-name>Society for Imaging Science and Technology</publisher-name>
        <publisher-loc>7003 Kilworth Lane, Springfield, VA 22151 USA</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.2352/ISSN.2470-1173.2020.15.COLOR-196</article-id>
      <article-id pub-id-type="sici">2470-1173(20200126)2020:15L.1961;1-</article-id>
      <article-id pub-id-type="publisher-id">ei_24701173_v2020n15_input/s11.xml</article-id>
      <article-id pub-id-type="other">/ist/ei/2020/00002020/00000015/art00009</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Data-bearing halftone image alignment and assessment on 3D surface</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Zhao</surname>
            <given-names>Ziyi</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Xu</surname>
            <given-names>Yujian</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Ulichney</surname>
            <given-names>Robert</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Gaubatz</surname>
            <given-names>Matthew</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Pollard</surname>
            <given-names>Stephen</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Allebach</surname>
            <given-names>Jan P.</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>26</day>
        <month>01</month>
        <year>2020</year>
      </pub-date>
      <volume>2020</volume>
      <issue>15</issue>
      <fpage>196-1</fpage>
      <lpage>196-7</lpage>
      <permissions>
        <copyright-year>2020</copyright-year>
      </permissions>
      <abstract>
        <p>
          <italic>An alignment approach for data-bearing halftone images, which are a visually pleasant alternative to barcodes, is proposed in this paper. In this paper, we address the alignment problem of data-bearing halftone images on a 3D surface. Different types of surfaces have been tested
 , using our proposed approach, and high accuracy results have been achieved. Additionally, we also develop a data retrieval tool from an aligned image, in order to decode the data embedded in the original image. A system to assess the accuracy of alignment is introduced to quantify the effectiveness
 of the proposed alignment approach.</italic>
        </p>
      </abstract>
      <kwd-group>
        <kwd>Halftone</kwd>
        <kwd>Alignment</kwd>
        <kwd>3D surface</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
