{"id":355,"date":"2018-04-12T19:13:04","date_gmt":"2018-04-12T22:13:04","guid":{"rendered":"http:\/\/web.inf.ufpr.br\/vri\/?page_id=355"},"modified":"2023-02-13T12:53:35","modified_gmt":"2023-02-13T15:53:35","slug":"iris-location-annotations","status":"publish","type":"page","link":"https:\/\/web.inf.ufpr.br\/vri\/databases\/iris-location-annotations\/","title":{"rendered":"Iris Location &#8211; Annotations"},"content":{"rendered":"<p><span lang=\"en-US\">We provide the annotation<\/span><span lang=\"en-US\">s <\/span><span lang=\"en-US\">(iris location)<\/span><span lang=\"en-US\"> of 5 <\/span><span lang=\"en-US\">iris<\/span><span lang=\"en-US\"> databases:<\/span><\/p>\n<ul>\n<li>BERC Mobile-iris &#8211; 500 images<\/li>\n<li>CASIA-IrisV3 Interval &#8211; 2639 images<\/li>\n<li>MobBIO Fake &#8211; 1600 images<\/li>\n<li>IIIT-Delhi Contact Lens Iris &#8211; 6570 images<\/li>\n<li>MICHE-I &#8211; 3191 images<\/li>\n<\/ul>\n<p>We define the iris location task as the determination of the smallest squared bounding box that encompasses the entire region of the iris. The figure below provides some samples of these annotations.<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-356 \" src=\"http:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2018\/04\/sample-1024x878.jpg\" alt=\"\" width=\"417\" height=\"358\" srcset=\"https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2018\/04\/sample-1024x878.jpg 1024w, https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2018\/04\/sample-300x257.jpg 300w, https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2018\/04\/sample-768x658.jpg 768w, https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2018\/04\/sample-315x270.jpg 315w, https:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2018\/04\/sample.jpg 1323w\" sizes=\"(max-width: 417px) 100vw, 417px\" \/><\/p>\n<h3 class=\"western\">How to obtain the Annotations<\/h3>\n<p class=\"western\"><span style=\"font-size: 12pt\">The annotations are released for academic research <\/span>only\u00a0<span style=\"font-size: 12pt\">and are free to researchers from educational or research institutes for <strong>non-commercial purposes<\/strong>.<\/span><\/p>\n<p class=\"western\"><span style=\"font-size: 12pt\">Please click <strong><a href=\"https:\/\/www.inf.ufpr.br\/vri\/databases\/IrisAnnotations.zip\" target=\"_blank\" rel=\"noopener noreferrer\"><u>here<\/u><\/a><\/strong> to download the annotations.<\/span><\/p>\n<h3>References<\/h3>\n<p>If you use the annotations in your research please cite our paper [accepted for presentation at the IJCNN 2018]:<\/p>\n<ul>\n<li>E. Severo, R. Laroca, C. S. Bezerra, L. A. Zanlorensi, D. Weingaertner, G. Moreira, D. Menotti, \u201cA Benchmark for Iris Location and a Deep Learning Detector Evaluation\u201d in 2018 International Joint Conference on Neural Networks (IJCNN), July 2018, pp. 1\u20137. [<strong><a href=\"https:\/\/ieeexplore.ieee.org\/document\/8489638\" target=\"_blank\" rel=\"noopener noreferrer\">IEEE Xplore<\/a><\/strong>] [<strong><a href=\"http:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2019\/08\/severo2018benchmark.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">PDF<\/a><\/strong>] [<a href=\"https:\/\/raysonlaroca.github.io\/bibtex\/severo2018benchmark.txt\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>BibTeX<\/strong><\/a>] [<strong><a href=\"http:\/\/web.inf.ufpr.br\/vri\/wp-content\/uploads\/sites\/7\/2019\/08\/severo2018benchmark-1.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Presentation<\/a><\/strong>]<\/li>\n<\/ul>\n<h3>Contact<\/h3>\n<p>Please contact Evair Severo (<a href=\"mailto:evairsevero@gmail.com\" target=\"_blank\" rel=\"noopener noreferrer\">evairsevero@gmail.com<\/a>) for any questions or comments.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We provide the annotations (iris location) of 5 iris databases: BERC Mobile-iris &#8211; 500 images CASIA-IrisV3 Interval &#8211; 2639 images MobBIO Fake &#8211; 1600 images IIIT-Delhi Contact Lens Iris &#8211; 6570 images MICHE-I &#8211; 3191 images We define the iris <a href=\"https:\/\/web.inf.ufpr.br\/vri\/databases\/iris-location-annotations\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":16,"featured_media":0,"parent":16,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-355","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/355","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/comments?post=355"}],"version-history":[{"count":17,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/355\/revisions"}],"predecessor-version":[{"id":2025,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/355\/revisions\/2025"}],"up":[{"embeddable":true,"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/pages\/16"}],"wp:attachment":[{"href":"https:\/\/web.inf.ufpr.br\/vri\/wp-json\/wp\/v2\/media?parent=355"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}