{"id":1027,"date":"2017-06-09T08:37:45","date_gmt":"2017-06-09T06:37:45","guid":{"rendered":"https:\/\/www-intuidoc.irisa.fr\/?p=1027"},"modified":"2017-06-09T08:43:05","modified_gmt":"2017-06-09T06:43:05","slug":"hip_db","status":"publish","type":"post","link":"https:\/\/www-intuidoc.irisa.fr\/en\/hip_db\/","title":{"rendered":"Mexican Marriage record database"},"content":{"rendered":"<p><\/p>\n<h3>Description<\/h3>\n<p>This work takes place in the context of the &#8220;FamilySearch&#8221; database proposed for the structure recognition competition during HIP&#8217;2013 workshop (satellite of ICDAR 2013)\/<\/p>\n<p>This competition focus on the localisation of 4 regions of interest inside of documents, and then a clustering in order to gather similar fields. A proposed metric enables to evaluate the final clustering, but not the field localisation. We propose a manually built ground-truth of the position of the two fields, year and month, that can be used to evaluate to field localisation step.<\/p>\n<h3>Data<\/h3>\n<p><a href=\"https:\/\/familysearch.org\/blog\/en\/icdar-2013-hip-workshop-familysearch-competition\/\">Contact Family Search\u00a0<\/a> in order to obtain the competition images.<\/p>\n<p><a href=\"https:\/\/www.irisa.fr\/intuidoc\/data\/database\/GT_MarriageRecords.zip\">Download our ground-truth <\/a>containing the position of month and year fields on 220 validation images and 2000 test images.<\/p>\n<h3>References<\/h3>\n<ul>\n<li>Cannaday, A.B., Gehring, J.: Icdar 2015 hip workshop familysearch competition capstone summary. In: HIP 2013<\/li>\n<li>Lemaitre, A., Camillerapp, J.: Hip 2013 familysearch competition &#8211; contribution of irisa. In: ICDAR Historical Image Processing Workshop (HIP2013) (2013)<\/li>\n<li>Our reference score on this database&#8230; coming soon&#8230; submitted paper<\/li>\n<\/ul>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<\/p>\n<h3>Description<\/h3>\n<p>This work takes place in the context of the &#8220;FamilySearch&#8221; database proposed for the structure recognition competition during HIP&#8217;2013 workshop (satellite of ICDAR 2013)\/<\/p>\n<p>This competition focus on the localisation of 4 regions of interest inside of documents, and then a clustering in order to gather similar fields. A proposed metric enables to &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"https:\/\/www-intuidoc.irisa.fr\/en\/hip_db\/\">Continue reading<\/a><\/p>\n","protected":false},"author":1565,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-1027","post","type-post","status-publish","format-standard","hentry","category-bases-de-donnees","nodate","item-wrap"],"_links":{"self":[{"href":"https:\/\/www-intuidoc.irisa.fr\/en\/wp-json\/wp\/v2\/posts\/1027","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www-intuidoc.irisa.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www-intuidoc.irisa.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www-intuidoc.irisa.fr\/en\/wp-json\/wp\/v2\/users\/1565"}],"replies":[{"embeddable":true,"href":"https:\/\/www-intuidoc.irisa.fr\/en\/wp-json\/wp\/v2\/comments?post=1027"}],"version-history":[{"count":1,"href":"https:\/\/www-intuidoc.irisa.fr\/en\/wp-json\/wp\/v2\/posts\/1027\/revisions"}],"predecessor-version":[{"id":1028,"href":"https:\/\/www-intuidoc.irisa.fr\/en\/wp-json\/wp\/v2\/posts\/1027\/revisions\/1028"}],"wp:attachment":[{"href":"https:\/\/www-intuidoc.irisa.fr\/en\/wp-json\/wp\/v2\/media?parent=1027"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www-intuidoc.irisa.fr\/en\/wp-json\/wp\/v2\/categories?post=1027"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www-intuidoc.irisa.fr\/en\/wp-json\/wp\/v2\/tags?post=1027"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}