{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T06:43:54Z","timestamp":1740120234481,"version":"3.37.3"},"reference-count":26,"publisher":"World Scientific Pub Co Pte Ltd","issue":"06","funder":[{"name":"Cultivating Fund of Taizhou University","award":["2016PY016"],"award-info":[{"award-number":["2016PY016"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2020,6,15]]},"abstract":"<jats:p> With the accumulation of people\u2019s wealth and the improvement of purchasing power, more and more people are buying cars as a means of travel. Walking and cycling of the past have now become a car trip. License plate recognition technology is especially important in intelligent transportation systems. It has been widely used in large shopping malls or supermarket parking lots, highway toll stations, speeding violation supervision and other fields. However, the accuracy and efficiency of license plate image recognition are insufficient. To solve the above problems, we propose a license plate character recognition method based on local HOG and layered LBP feature fusion from the perspectives of image pre-processing, license location, characters\u2019 segmentation and recognition. First, pre-processing the license image area by highlighting the license plate image; then, the license plate is positioned based on wavelet decomposition and brightness moment; next the tilted license plate image is corrected, the license plate frame is adjusted, and characterization is performed by using the improved projection method based on the fact that the projection of the character is a single peak or a double peak. Finally, the local HOG and hierarchical LBP feature fusion methods are used to identify the license characters. The results show that the license plate\u2019s character recognition rate of the proposed method reaches 99.71%, and the time taken is small. This not only improves the character recognition rate, but also saves recognition time. The results show that the method has important practical significance in license plates\u2019 recognition. <\/jats:p>","DOI":"10.1142\/s0218001420500147","type":"journal-article","created":{"date-parts":[[2019,7,10]],"date-time":"2019-07-10T08:24:04Z","timestamp":1562747044000},"page":"2050014","source":"Crossref","is-referenced-by-count":6,"title":["Research on License Plate Image Segmentation and Intelligent Character Recognition"],"prefix":"10.1142","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1427-3283","authenticated-orcid":false,"given":"Jianping","family":"Huang","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering, Taizhou University, Taizhou, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2019,10,4]]},"reference":[{"key":"S0218001420500147BIB001","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2006.880641"},{"issue":"3","key":"S0218001420500147BIB002","first-page":"42","volume":"36","author":"Fu L.","year":"2019","journal-title":"Journal of Jilin Institute of Chemical Technology"},{"issue":"2","key":"S0218001420500147BIB003","first-page":"343","volume":"33","author":"Hou Y.","year":"2018","journal-title":"Data Acquis. 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