Serveur d'exploration sur les dispositifs haptiques

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Towards Mobile OCR: How To Take a Good Picture of a Document Without Sight

Identifieur interne : 003E48 ( Ncbi/Merge ); précédent : 003E47; suivant : 003E49

Towards Mobile OCR: How To Take a Good Picture of a Document Without Sight

Auteurs : Michael Cutter ; Roberto Manduchi

Source :

RBID : PMC:4677830

Abstract

The advent of mobile OCR (optical character recognition) applications on regular smartphones holds great promise for enabling blind people to access printed information. Unfortunately, these systems suffer from a problem: in order for OCR output to be meaningful, a well-framed image of the document needs to be taken, something that is difficult to do without sight. This contribution presents an experimental investigation of how blind people position and orient a camera phone while acquiring document images. We developed experimental software to investigate if verbal guidance aids in the acquisition of OCR-readable images without sight. We report on our participant's feedback and performance before and after assistance from our software.


Url:
DOI: 10.1145/2682571.2797066
PubMed: 26677461
PubMed Central: 4677830

Links toward previous steps (curation, corpus...)


Links to Exploration step

PMC:4677830

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Towards Mobile OCR: How To Take a Good Picture of a Document Without Sight</title>
<author>
<name sortKey="Cutter, Michael" sort="Cutter, Michael" uniqKey="Cutter M" first="Michael" last="Cutter">Michael Cutter</name>
</author>
<author>
<name sortKey="Manduchi, Roberto" sort="Manduchi, Roberto" uniqKey="Manduchi R" first="Roberto" last="Manduchi">Roberto Manduchi</name>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">26677461</idno>
<idno type="pmc">4677830</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4677830</idno>
<idno type="RBID">PMC:4677830</idno>
<idno type="doi">10.1145/2682571.2797066</idno>
<date when="2015">2015</date>
<idno type="wicri:Area/Pmc/Corpus">001894</idno>
<idno type="wicri:Area/Pmc/Curation">001894</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000237</idno>
<idno type="wicri:Area/Ncbi/Merge">003E48</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">Towards Mobile OCR: How To Take a Good Picture of a Document Without Sight</title>
<author>
<name sortKey="Cutter, Michael" sort="Cutter, Michael" uniqKey="Cutter M" first="Michael" last="Cutter">Michael Cutter</name>
</author>
<author>
<name sortKey="Manduchi, Roberto" sort="Manduchi, Roberto" uniqKey="Manduchi R" first="Roberto" last="Manduchi">Roberto Manduchi</name>
</author>
</analytic>
<series>
<title level="j">Proceedings of the ACM Symposium on Document Engineering. ACM Symposium on Document Engineering</title>
<imprint>
<date when="2015">2015</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p id="P1">The advent of mobile OCR (optical character recognition) applications on regular smartphones holds great promise for enabling blind people to access printed information. Unfortunately, these systems suffer from a problem: in order for OCR output to be meaningful, a well-framed image of the document needs to be taken, something that is difficult to do without sight. This contribution presents an experimental investigation of how blind people position and orient a camera phone while acquiring document images. We developed experimental software to investigate if verbal guidance aids in the acquisition of OCR-readable images without sight. We report on our participant's feedback and performance before and after assistance from our software.</p>
</div>
</front>
</TEI>
<pmc article-type="research-article">
<pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-journal-id">101672450</journal-id>
<journal-id journal-id-type="pubmed-jr-id">44643</journal-id>
<journal-id journal-id-type="nlm-ta">Proc ACM Symp Doc Eng</journal-id>
<journal-title-group>
<journal-title>Proceedings of the ACM Symposium on Document Engineering. ACM Symposium on Document Engineering</journal-title>
</journal-title-group>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">26677461</article-id>
<article-id pub-id-type="pmc">4677830</article-id>
<article-id pub-id-type="doi">10.1145/2682571.2797066</article-id>
<article-id pub-id-type="manuscript">NIHMS738539</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Towards Mobile OCR: How To Take a Good Picture of a Document Without Sight</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Cutter</surname>
<given-names>Michael</given-names>
</name>
<aff id="A1">University of California, Santa Cruz,
<email>mcutter@soe.ucsc.edu</email>
</aff>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Manduchi</surname>
<given-names>Roberto</given-names>
</name>
<aff id="A2">University of California, Santa Cruz,
<email>manduchi@soe.ucsc.edu</email>
</aff>
</contrib>
</contrib-group>
<pub-date pub-type="nihms-submitted">
<day>28</day>
<month>11</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="ppub">
<year>2015</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>14</day>
<month>12</month>
<year>2015</year>
</pub-date>
<volume>2015</volume>
<fpage>75</fpage>
<lpage>84</lpage>
<pmc-comment>elocation-id from pubmed: 10.1145/2682571.2797066</pmc-comment>
<abstract>
<p id="P1">The advent of mobile OCR (optical character recognition) applications on regular smartphones holds great promise for enabling blind people to access printed information. Unfortunately, these systems suffer from a problem: in order for OCR output to be meaningful, a well-framed image of the document needs to be taken, something that is difficult to do without sight. This contribution presents an experimental investigation of how blind people position and orient a camera phone while acquiring document images. We developed experimental software to investigate if verbal guidance aids in the acquisition of OCR-readable images without sight. We report on our participant's feedback and performance before and after assistance from our software.</p>
</abstract>
<kwd-group>
<kwd>Visual Impairment</kwd>
<kwd>Optical Character Recognition</kwd>
<kwd>Document Processing</kwd>
</kwd-group>
<kwd-group>
<title>General Terms</title>
<kwd>Design</kwd>
<kwd>Experimentation</kwd>
<kwd>Human Factors</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
<affiliations>
<list></list>
<tree>
<noCountry>
<name sortKey="Cutter, Michael" sort="Cutter, Michael" uniqKey="Cutter M" first="Michael" last="Cutter">Michael Cutter</name>
<name sortKey="Manduchi, Roberto" sort="Manduchi, Roberto" uniqKey="Manduchi R" first="Roberto" last="Manduchi">Roberto Manduchi</name>
</noCountry>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/Ncbi/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 003E48 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Ncbi/Merge/biblio.hfd -nk 003E48 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    HapticV1
   |flux=    Ncbi
   |étape=   Merge
   |type=    RBID
   |clé=     PMC:4677830
   |texte=   Towards Mobile OCR: How To Take a Good Picture of a Document Without Sight
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Ncbi/Merge/RBID.i   -Sk "pubmed:26677461" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Ncbi/Merge/biblio.hfd   \
       | NlmPubMed2Wicri -a HapticV1 

Wicri

This area was generated with Dilib version V0.6.23.
Data generation: Mon Jun 13 01:09:46 2016. Site generation: Wed Mar 6 09:54:07 2024