{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T17:26:37Z","timestamp":1764955597417,"version":"3.46.0"},"reference-count":0,"publisher":"Walter de Gruyter GmbH","issue":"2","license":[{"start":{"date-parts":[[2012,6,20]],"date-time":"2012-06-20T00:00:00Z","timestamp":1340150400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,7,1]]},"abstract":"<jats:title>Abstract.<\/jats:title>\n                  <jats:p>This paper presents a new approach to segment low\nquality fingerprint images which are collected by low quality fingerprint\nreaders. Images collected using such readers are easy to collect but\ndifficult to segment. The proposed approach is based on combining global and\nlocal processing to achieve segmentation of fingerprint images. On the\nglobal level, the fingerprint is located and extracted from the rest of the\nimage by using a global thresholding followed by dilation and edge detection\nof the largest object in the image. On the local level, fingerprint's\nforeground and its border image are treated using different fuzzy rules.\nThese rules are based on the mean and\nvariance of the block under consideration. The approach is implemented in\nthree stages: pre-processing, segmentation, and post-processing.\nSegmentation of 100 images was performed and compared with manual\nexaminations by human experts. The experiments showed that 96% of images\nunder test are correctly segmented. The results from the quality of\nsegmentation test revealed that the average error in block segmentation was\n2.84% and the false positive and false negatives were approximately\n1.4%. This indicates the high robustness of the proposed\napproach.<\/jats:p>","DOI":"10.1515\/jisys-2012-0005","type":"journal-article","created":{"date-parts":[[2012,3,22]],"date-time":"2012-03-22T05:56:39Z","timestamp":1332395799000},"page":"97-120","source":"Crossref","is-referenced-by-count":0,"title":["Segmentation of Fingerprint Images Based on Bi-level Combination of Global and Local Processing"],"prefix":"10.1515","volume":"21","author":[{"given":"Hasan","family":"Fleyeh","sequence":"first","affiliation":[{"name":"Computer E Department, School of Technology and Business Studies, Dalarna University, R\u00f6dav\u00e4gen 3, 78188 Borl\u00e4nge, Sweden"}]},{"given":"Diala","family":"Jomaa","sequence":"additional","affiliation":[{"name":"Computer E Department, School of Technology and Business Studies, Dalarna University, R\u00f6dav\u00e4gen 3, 78188 Borl\u00e4nge, Sweden"}]},{"given":"Mark","family":"Dougherty","sequence":"additional","affiliation":[{"name":"Computer E Department, School of Technology and Business Studies, Dalarna University, R\u00f6dav\u00e4gen 3, 78188 Borl\u00e4nge, Sweden"}]},{"given":"Erfan","family":"Davami","sequence":"additional","affiliation":[{"name":"Computer E Department, School of Technology and Business Studies, Dalarna University, R\u00f6dav\u00e4gen 3, 78188 Borl\u00e4nge, Sweden"}]}],"member":"374","published-online":{"date-parts":[[2012,6,20]]},"container-title":["Journal of Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jisys-2012-0005\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jisys-2012-0005\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T17:22:18Z","timestamp":1764955338000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jisys-2012-0005\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,6,20]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2012,6,20]]},"published-print":{"date-parts":[[2012,7,1]]}},"alternative-id":["10.1515\/jisys-2012-0005"],"URL":"https:\/\/doi.org\/10.1515\/jisys-2012-0005","relation":{},"ISSN":["2191-026X","0334-1860"],"issn-type":[{"type":"electronic","value":"2191-026X"},{"type":"print","value":"0334-1860"}],"subject":[],"published":{"date-parts":[[2012,6,20]]}}}