Abstract<\/h2>\n

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This article presents two massive datasets for central Kurdish handwriting digits and isolated characters named\u00a0K-ZHMARA<\/em>\u00a0and\u00a0K-PIT<\/em>. The first dataset, named\u00a0K-ZHMARA<\/em>\u00a0dataset, contains 70,000 images of Kurdish digits, 7000 images for each digit, and a printed A4 paper with a grid of 10\u00a0\u00d7\u00a010 is used for data collection. Apart from digits, the\u00a0K-PIT<\/em>\u00a0dataset includes 245,000 images of all Kurdish characters, 7000 images for each character; data was collected via a printed A4 paper with a grid of 12\u00a0\u00d7\u00a010 for this dataset. Moreover, both datasets include 315,000 images. Python programming has been used to scan each piece of paper, segment, crop, resize, binarize, and invert the images via edge detection and image processing techniques.<\/p>\n<\/div>\n","protected":false},"author":3,"featured_media":5705,"template":"","acf":[],"_links":{"self":[{"href":"https:\/\/uoh.edu.iq\/en\/wp-json\/wp\/v2\/researcharchive\/5704"}],"collection":[{"href":"https:\/\/uoh.edu.iq\/en\/wp-json\/wp\/v2\/researcharchive"}],"about":[{"href":"https:\/\/uoh.edu.iq\/en\/wp-json\/wp\/v2\/types\/researcharchive"}],"author":[{"embeddable":true,"href":"https:\/\/uoh.edu.iq\/en\/wp-json\/wp\/v2\/users\/3"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/uoh.edu.iq\/en\/wp-json\/wp\/v2\/media\/5705"}],"wp:attachment":[{"href":"https:\/\/uoh.edu.iq\/en\/wp-json\/wp\/v2\/media?parent=5704"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}