The use of Optical Character Recognition (OCR) in the digitisation of herbarium specimen labels.
Identifieur interne : 000017 ( PubMed/Corpus ); précédent : 000016; suivant : 000018The use of Optical Character Recognition (OCR) in the digitisation of herbarium specimen labels.
Auteurs : Robyn E. Drinkwater ; Robert W N. Cubey ; Elspeth M. HastonSource :
- PhytoKeys [ 1314-2011 ] ; 2014.
Abstract
At the Royal Botanic Garden Edinburgh (RBGE) the use of Optical Character Recognition (OCR) to aid the digitisation process has been investigated. This was tested using a herbarium specimen digitisation process with two stages of data entry. Records were initially batch-processed to add data extracted from the OCR text prior to being sorted based on Collector and/or Country. Using images of the specimens, a team of six digitisers then added data to the specimen records. To investigate whether the data from OCR aid the digitisation process, they completed a series of trials which compared the efficiency of data entry between sorted and unsorted batches of specimens. A survey was carried out to explore the opinion of the digitisation staff to the different sorting options. In total 7,200 specimens were processed. When compared to an unsorted, random set of specimens, those which were sorted based on data added from the OCR were quicker to digitise. Of the methods tested here, the most successful in terms of efficiency used a protocol which required entering data into a limited set of fields and where the records were filtered by Collector and Country. The survey and subsequent discussions with the digitisation staff highlighted their preference for working with sorted specimens, in which label layout, locations and handwriting are likely to be similar, and so a familiarity with the Collector or Country is rapidly established.
DOI: 10.3897/phytokeys.38.7168
PubMed: 25009435
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Haston</name><affiliation><nlm:affiliation>Royal Botanic Garden Edinburgh, 20a Inverleith Row, Edinburgh, EH3 5LR, UK.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="doi">10.3897/phytokeys.38.7168</idno><idno type="RBID">pubmed:25009435</idno><idno type="pmid">25009435</idno><idno type="wicri:Area/PubMed/Corpus">000017</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">The use of Optical Character Recognition (OCR) in the digitisation of herbarium specimen labels.</title><author><name sortKey="Drinkwater, Robyn E" sort="Drinkwater, Robyn E" uniqKey="Drinkwater R" first="Robyn E" last="Drinkwater">Robyn E. Drinkwater</name><affiliation><nlm:affiliation>Royal Botanic Garden Edinburgh, 20a Inverleith Row, Edinburgh, EH3 5LR, UK.</nlm:affiliation></affiliation></author><author><name sortKey="Cubey, Robert W N" sort="Cubey, Robert W N" uniqKey="Cubey R" first="Robert W N" last="Cubey">Robert W N. Cubey</name><affiliation><nlm:affiliation>Royal Botanic Garden Edinburgh, 20a Inverleith Row, Edinburgh, EH3 5LR, UK.</nlm:affiliation></affiliation></author><author><name sortKey="Haston, Elspeth M" sort="Haston, Elspeth M" uniqKey="Haston E" first="Elspeth M" last="Haston">Elspeth M. Haston</name><affiliation><nlm:affiliation>Royal Botanic Garden Edinburgh, 20a Inverleith Row, Edinburgh, EH3 5LR, UK.</nlm:affiliation></affiliation></author></analytic><series><title level="j">PhytoKeys</title><idno type="ISSN">1314-2011</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">At the Royal Botanic Garden Edinburgh (RBGE) the use of Optical Character Recognition (OCR) to aid the digitisation process has been investigated. This was tested using a herbarium specimen digitisation process with two stages of data entry. Records were initially batch-processed to add data extracted from the OCR text prior to being sorted based on Collector and/or Country. Using images of the specimens, a team of six digitisers then added data to the specimen records. To investigate whether the data from OCR aid the digitisation process, they completed a series of trials which compared the efficiency of data entry between sorted and unsorted batches of specimens. A survey was carried out to explore the opinion of the digitisation staff to the different sorting options. In total 7,200 specimens were processed. When compared to an unsorted, random set of specimens, those which were sorted based on data added from the OCR were quicker to digitise. Of the methods tested here, the most successful in terms of efficiency used a protocol which required entering data into a limited set of fields and where the records were filtered by Collector and Country. The survey and subsequent discussions with the digitisation staff highlighted their preference for working with sorted specimens, in which label layout, locations and handwriting are likely to be similar, and so a familiarity with the Collector or Country is rapidly established.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="PubMed-not-MEDLINE"><PMID Version="1">25009435</PMID><DateCreated><Year>2014</Year><Month>07</Month><Day>10</Day></DateCreated><DateCompleted><Year>2014</Year><Month>07</Month><Day>10</Day></DateCompleted><DateRevised><Year>2014</Year><Month>07</Month><Day>14</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">1314-2011</ISSN><JournalIssue CitedMedium="Print"><Issue>38</Issue><PubDate><Year>2014</Year></PubDate></JournalIssue><Title>PhytoKeys</Title><ISOAbbreviation>PhytoKeys</ISOAbbreviation></Journal><ArticleTitle>The use of Optical Character Recognition (OCR) in the digitisation of herbarium specimen labels.</ArticleTitle><Pagination><MedlinePgn>15-30</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3897/phytokeys.38.7168</ELocationID><Abstract><AbstractText>At the Royal Botanic Garden Edinburgh (RBGE) the use of Optical Character Recognition (OCR) to aid the digitisation process has been investigated. This was tested using a herbarium specimen digitisation process with two stages of data entry. Records were initially batch-processed to add data extracted from the OCR text prior to being sorted based on Collector and/or Country. Using images of the specimens, a team of six digitisers then added data to the specimen records. To investigate whether the data from OCR aid the digitisation process, they completed a series of trials which compared the efficiency of data entry between sorted and unsorted batches of specimens. A survey was carried out to explore the opinion of the digitisation staff to the different sorting options. In total 7,200 specimens were processed. When compared to an unsorted, random set of specimens, those which were sorted based on data added from the OCR were quicker to digitise. Of the methods tested here, the most successful in terms of efficiency used a protocol which required entering data into a limited set of fields and where the records were filtered by Collector and Country. The survey and subsequent discussions with the digitisation staff highlighted their preference for working with sorted specimens, in which label layout, locations and handwriting are likely to be similar, and so a familiarity with the Collector or Country is rapidly established.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Drinkwater</LastName><ForeName>Robyn E</ForeName><Initials>RE</Initials><AffiliationInfo><Affiliation>Royal Botanic Garden Edinburgh, 20a Inverleith Row, Edinburgh, EH3 5LR, UK.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cubey</LastName><ForeName>Robert W N</ForeName><Initials>RW</Initials><AffiliationInfo><Affiliation>Royal Botanic Garden Edinburgh, 20a Inverleith Row, Edinburgh, EH3 5LR, UK.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Haston</LastName><ForeName>Elspeth M</ForeName><Initials>EM</Initials><AffiliationInfo><Affiliation>Royal Botanic Garden Edinburgh, 20a Inverleith Row, Edinburgh, EH3 5LR, UK.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>05</Month><Day>19</Day></ArticleDate></Article><MedlineJournalInfo><Country>Bulgaria</Country><MedlineTA>PhytoKeys</MedlineTA><NlmUniqueID>101548554</NlmUniqueID><ISSNLinking>1314-2003</ISSNLinking></MedlineJournalInfo><OtherID Source="NLM">PMC4086207</OtherID><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Data entry</Keyword><Keyword MajorTopicYN="N">Digitisation</Keyword><Keyword MajorTopicYN="N">Herbarium</Keyword><Keyword MajorTopicYN="N">Label</Keyword><Keyword MajorTopicYN="N">OCR</Keyword><Keyword MajorTopicYN="N">Specimen</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="ecollection"><Year>2014</Year><Month></Month><Day></Day></PubMedPubDate><PubMedPubDate PubStatus="received"><Year>2014</Year><Month>1</Month><Day>31</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2014</Year><Month>4</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="epublish"><Year>2014</Year><Month>5</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>7</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>7</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>7</Month><Day>11</Day><Hour>6</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.3897/phytokeys.38.7168</ArticleId><ArticleId IdType="pubmed">25009435</ArticleId><ArticleId IdType="pmc">PMC4086207</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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