{"id":2695,"date":"2010-05-07T13:34:38","date_gmt":"2010-05-07T13:34:38","guid":{"rendered":"http:\/\/impactocr.wordpress.com\/?p=190"},"modified":"2010-05-07T13:34:38","modified_gmt":"2010-05-07T13:34:38","slug":"tools-for-document-image-analysis","status":"publish","type":"post","link":"https:\/\/digitisation.eu\/?p=2695","title":{"rendered":"Tools for Document Image\u00a0Analysis"},"content":{"rendered":"[slideshare id=4138338&amp;doc=bratislavaws-pratikakis-ncsr-imageanalysistoolsnew-100518090539-phpapp02]\n<p>http:\/\/vimeo.com\/11833935<\/p>\n<p>Ioannis Pratikakis of the NCSR &#8211; National Center for Scientific Research &#8211; &#8220;Demokritos&#8221; now provides a live demo of various image pre-processing tools.\u00a0 By combining various familiar algorithms used to binarise images, an operator can get a good visual idea of which type of binarisation (or combination) will produce the best OCR results.\u00a0 The same applies for segmentation algorithms, geometric defect correction, border removal and noise reduction.\u00a0 The NCSR tool also provides numerical accuracy metrics for determining the best method for the source material in hand.<\/p>\n<p>Ioannis now presents the &#8220;Word Spotting&#8221; module.\u00a0 This works by selecting a character in a volume, defining what it is, and building a database of character results for the whole volume.\u00a0 Someone who was searching for a word in that volume would not search a text or xml file (as usually happens in OCR), they would be searching a purpose-built graphical version of the volume itself &#8211; one whose output isn&#8217;t based on OCR, but on the unique formatting and condition of that volume.\u00a0 As Ioannis explains, this approach could really suit books on which typical OCR technologies would struggle or fail.<\/p>\n<p><strong>Video to come very soon!<\/strong><\/p>\n<p><em>Niall Anderson, BL + Mark-Oliver Fischer, BSB<br \/>\n<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>[slideshare id=4138338&amp;doc=bratislavaws-pratikakis-ncsr-imageanalysistoolsnew-100518090539-phpapp02] http:\/\/vimeo.com\/11833935 Ioannis Pratikakis of the NCSR &#8211; National Center for Scientific Research &#8211; &#8220;Demokritos&#8221; now provides a live demo of various image pre-processing tools.\u00a0 By combining various familiar algorithms used to binarise images, an operator can get a good visual idea of which type of binarisation (or combination) will produce the best OCR &hellip; <a href=\"https:\/\/digitisation.eu\/?p=2695\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Tools for Document Image\u00a0Analysis&#8221;<\/span><\/a><\/p>\n","protected":false},"author":4217,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[153],"tags":[],"class_list":["post-2695","post","type-post","status-publish","format-standard","hentry","category-news"],"acf":[],"_links":{"self":[{"href":"https:\/\/digitisation.eu\/index.php?rest_route=\/wp\/v2\/posts\/2695","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/digitisation.eu\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/digitisation.eu\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/digitisation.eu\/index.php?rest_route=\/wp\/v2\/users\/4217"}],"replies":[{"embeddable":true,"href":"https:\/\/digitisation.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2695"}],"version-history":[{"count":0,"href":"https:\/\/digitisation.eu\/index.php?rest_route=\/wp\/v2\/posts\/2695\/revisions"}],"wp:attachment":[{"href":"https:\/\/digitisation.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2695"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/digitisation.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2695"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/digitisation.eu\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2695"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}