untitled
<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd>
<responseDate>2018-01-15T18:29:05Z</responseDate>
<request identifier=oai:HAL:hal-01165915v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request>
<GetRecord>
<record>
<header>
<identifier>oai:HAL:hal-01165915v1</identifier>
<datestamp>2015-06-22</datestamp>
<setSpec>type:COMM</setSpec>
<setSpec>subject:info</setSpec>
<setSpec>collection:UNIV-AG</setSpec>
<setSpec>collection:IGS2015</setSpec>
</header>
<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>Writer identification – clustering letters with unknown authors</title>
<creator>Putz-Leszczynska, Joanna</creator>
<contributor>Faculty of Electronics and Information Technology ; Warsaw University of Technology [Warsaw]</contributor>
<description>International audience</description>
<source>17th Biennial Conference of the International Graphonomics Society</source>
<coverage>Pointe-à-Pitre, Guadeloupe</coverage>
<contributor>International Graphonomics Society (IGS)</contributor>
<contributor>Université des Antilles (UA)</contributor>
<identifier>hal-01165915</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165915</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165915/document</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165915/file/IGS_2015_submission_32.pdf</identifier>
<source>https://hal.univ-antilles.fr/hal-01165915</source>
<source>17th Biennial Conference of the International Graphonomics Society, Jun 2015, Pointe-à-Pitre, Guadeloupe. 2015, Drawing, Handwriting Processing Analysis: New Advances and Challenges</source>
<language>en</language>
<subject>[INFO] Computer Science [cs]</subject>
<type>info:eu-repo/semantics/conferenceObject</type>
<type>Conference papers</type>
<description lang=en>This paper provides a simple algorithm for writer identification of historical letters. The collected database is an original historical database, of 100 pages belonging to 25 people selected from a 500 letters database. In the article there is presented an article for a cauterization of the letters, because the system doesn't have the templates of the classes and doesn't know how many classes is in the database. The obtained result shows that automatic identification can help historical experts to segregate the documents, before they would analyze the text information.</description>
<date>2015-06-21</date>
</dc>
</metadata>
</record>
</GetRecord>
</OAI-PMH>
