{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T05:25:22Z","timestamp":1740115522895,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>Urban transportation is developing rapidly, which leads to that intelligent traffic is the direction of future traffic. License plate recognition (LPR) technology is one of the key techniques. But in bad weather, images taken by cameras degrade dreadfully, which results in the poorer LPR effect. This paper introduces the propagating deconvolution, dark channel prior and color attenuation prior dehaze algorithms as the pretreatment of LPR, and proposes a license plate location method based on both color and edge information. In addition, this paper compares the influence of various dehaze algorithms on the license plates location.<\/jats:p>","DOI":"10.3233\/978-1-61499-785-6-371","type":"book-chapter","created":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T12:06:08Z","timestamp":1740053168000},"source":"Crossref","is-referenced-by-count":0,"title":["The Applied Research of Image Dehazing Algorithms in License Plate Location"],"prefix":"10.3233","author":[{"family":"Wang Rui","sequence":"additional","affiliation":[]},{"family":"Wang Guoyu","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Information Technology and Intelligent Transportation Systems"],"original-title":[],"deposited":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T12:36:39Z","timestamp":1740054999000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-784-9&spage=371&doi=10.3233\/978-1-61499-785-6-371"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-785-6-371","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2017]]}}}