Towards Mobile OCR: How To Take a Good Picture of a Document Without Sight.
Identifieur interne : 000002 ( PubMed/Corpus ); précédent : 000001; suivant : 000003Towards Mobile OCR: How To Take a Good Picture of a Document Without Sight.
Auteurs : Michael Cutter ; Roberto ManduchiSource :
RBID : pubmed:26677461Abstract
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.
DOI: 10.1145/2682571.2797066
PubMed: 26677461
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ACM Symposium on Document Engineering</title><idno type="ISSN"></idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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.</div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">26677461</PMID><DateCreated><Year>2015</Year><Month>12</Month><Day>17</Day></DateCreated><DateRevised><Year>2015</Year><Month>12</Month><Day>20</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print"></ISSN><JournalIssue CitedMedium="Print"><Volume>2015</Volume><PubDate><MedlineDate>2015</MedlineDate></PubDate></JournalIssue><Title>Proceedings of the ACM Symposium on Document Engineering. ACM Symposium on Document Engineering</Title><ISOAbbreviation>Proc ACM Symp Doc Eng</ISOAbbreviation></Journal><ArticleTitle>Towards Mobile OCR: How To Take a Good Picture of a Document Without Sight.</ArticleTitle><Pagination><MedlinePgn>75-84</MedlinePgn></Pagination><Abstract><AbstractText NlmCategory="UNASSIGNED">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.</AbstractText></Abstract><AuthorList><Author><LastName>Cutter</LastName><ForeName>Michael</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>University of California, Santa Cruz, mcutter@soe.ucsc.edu.</Affiliation></AffiliationInfo></Author><Author><LastName>Manduchi</LastName><ForeName>Roberto</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>University of California, Santa Cruz, manduchi@soe.ucsc.edu.</Affiliation></AffiliationInfo></Author></AuthorList><Language>ENG</Language><GrantList><Grant><GrantID>R21 EY025077</GrantID><Acronym>EY</Acronym><Agency>NEI NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="">JOURNAL ARTICLE</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><MedlineTA>Proc ACM Symp Doc Eng</MedlineTA><NlmUniqueID>101672450</NlmUniqueID></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Design</Keyword><Keyword MajorTopicYN="N">Document Processing</Keyword><Keyword MajorTopicYN="N">Experimentation</Keyword><Keyword MajorTopicYN="N">Human Factors</Keyword><Keyword MajorTopicYN="N">Optical Character Recognition</Keyword><Keyword MajorTopicYN="N">Visual Impairment</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>12</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2015</Year><Month>12</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>12</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1145/2682571.2797066</ArticleId><ArticleId IdType="pubmed">26677461</ArticleId><ArticleId IdType="pmc">PMC4677830</ArticleId><ArticleId IdType="mid">NIHMS738539</ArticleId></ArticleIdList><pmc-dir>nihms</pmc-dir>
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