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<titleInfo><title>Oblivious document capture and real-time retrieval</title></titleInfo>


<note type="publicationStatus">published</note>



<name type="personal">
  <namePart type="given">Christoph</namePart>
  <namePart type="family">Lampert</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">40C20FD2-F248-11E8-B48F-1D18A9856A87</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0001-8622-7887</description></name>
<name type="personal">
  <namePart type="given">Tim</namePart>
  <namePart type="family">Braun</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Adrian</namePart>
  <namePart type="family">Ulges</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Daniel</namePart>
  <namePart type="family">Keysers</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Thomas</namePart>
  <namePart type="family">Breuel</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>









<name type="conference">
  <namePart>CBDAR: Camera Based Document Analysis and Recognition </namePart>
</name>






<abstract lang="eng">Ever since text processors became popular, users have
dreamt of handling documents printed on paper as comfortably
as electronic ones, with full text search typically
appearing very close to the top of the wish list.
This paper presents the design of a prototype system that
takes a step into this direction. The user’s desktop is continuously
monitored and of each detected document a high
resolution snapshot is taken using a digital camera. The
resulting image is processed using specially designed dewarping
and OCR algorithms, making a digital and fully
searchable version of the document available to the user in
real-time. These steps are performed without any user interaction.
This enables the system to run as a background
task without disturbing the user in her work, while at the
same time offering electronic access to all paper documents
that have been present on the desktop during the uptime of
the system.</abstract>

<originInfo><publisher>CBDAR</publisher><dateIssued encoding="w3cdtf">2005</dateIssued>
</originInfo>



<relatedItem type="host">
<part><extent unit="pages">79 - 86</extent>
</part>
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<note type="extern">yes</note>
<extension>
<bibliographicCitation>
<short>C. Lampert, T. Braun, A. Ulges, D. Keysers, T. Breuel, in:, CBDAR, 2005, pp. 79–86.</short>
<apa>Lampert, C., Braun, T., Ulges, A., Keysers, D., &amp;#38; Breuel, T. (2005). Oblivious document capture and real-time retrieval (pp. 79–86). Presented at the CBDAR: Camera Based Document Analysis and Recognition , CBDAR.</apa>
<ama>Lampert C, Braun T, Ulges A, Keysers D, Breuel T. Oblivious document capture and real-time retrieval. In: CBDAR; 2005:79-86.</ama>
<chicago>Lampert, Christoph, Tim Braun, Adrian Ulges, Daniel Keysers, and Thomas Breuel. “Oblivious Document Capture and Real-Time Retrieval,” 79–86. CBDAR, 2005.</chicago>
<ista>Lampert C, Braun T, Ulges A, Keysers D, Breuel T. 2005. Oblivious document capture and real-time retrieval. CBDAR: Camera Based Document Analysis and Recognition , 79–86.</ista>
<mla>Lampert, Christoph, et al. &lt;i&gt;Oblivious Document Capture and Real-Time Retrieval&lt;/i&gt;. CBDAR, 2005, pp. 79–86.</mla>
<ieee>C. Lampert, T. Braun, A. Ulges, D. Keysers, and T. Breuel, “Oblivious document capture and real-time retrieval,” presented at the CBDAR: Camera Based Document Analysis and Recognition , 2005, pp. 79–86.</ieee>
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