{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T18:59:46Z","timestamp":1773687586404,"version":"3.50.1"},"reference-count":73,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Institute of Information and Communications Technology Planning and Evaluation (IITP) funded by the Government of Korea","award":["2014-3-00077"],"award-info":[{"award-number":["2014-3-00077"]}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea (NRF) funded by the Korea Government","doi-asserted-by":"publisher","award":["2019R1A2C2087489"],"award-info":[{"award-number":["2019R1A2C2087489"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006465","name":"Korea Creative Content Agency (KOCCA) funded by the Government of Korea","doi-asserted-by":"publisher","award":["R2020070004"],"award-info":[{"award-number":["R2020070004"]}],"id":[{"id":"10.13039\/501100006465","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62076182"],"award-info":[{"award-number":["62076182"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1109\/tits.2021.3135015","type":"journal-article","created":{"date-parts":[[2021,12,24]],"date-time":"2021-12-24T20:29:24Z","timestamp":1640377764000},"page":"14908-14921","source":"Crossref","is-referenced-by-count":11,"title":["License Plate Detection via Information Maximization"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5622-3383","authenticated-orcid":false,"given":"Younkwan","family":"Lee","sequence":"first","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea"}]},{"given":"Jihyo","family":"Jeon","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1576-4324","authenticated-orcid":false,"given":"Yeongmin","family":"Ko","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2775-7789","authenticated-orcid":false,"given":"Moongu","family":"Jeon","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9335-9930","authenticated-orcid":false,"given":"Witold","family":"Pedrycz","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2466652"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.l007\/978-3-319-46448-0_2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2929020"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-019-01751-1"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3053563"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2749964"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2912301"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2726546"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2833843"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3034316"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3013269"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2345663"},{"key":"ref18","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","author":"Li","year":"2017","journal-title":"arXiv:1707.01926"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2784093"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-017-2696-2"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE-ASIA.2018.8552121"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00131"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.03.103"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2003.1252632"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-006-0023-5"},{"key":"ref26","first-page":"59","article-title":"Building an automatic vehicle license plate recognition system","volume-title":"Proc. Int. Conf. Comput. Sci. RIVF","volume":"1","author":"Duan"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1334387"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2006.09.010"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1049\/el.2017.1373"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489629"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/SIBGRAPI.2017.14"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_36"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICASI.2018.8394573"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2931791"},{"key":"ref38","article-title":"An efficient and layout-independent automatic license plate recognition system based on the YOLO detector","author":"Laroca","year":"2019","journal-title":"arXiv:1909.01754"},{"key":"ref39","article-title":"Reading car license plates using deep convolutional neural networks and LSTMs","author":"Li","year":"2016","journal-title":"arXiv:1601.05610"},{"key":"ref40","article-title":"Segmentation-free vehicle license plate recognition using ConvNet-RNN","author":"Cheang","year":"2017","journal-title":"arXiv:1701.06439"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_16"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2956357"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2012.2226218"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1117\/1.JEI.25.5.053034"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2631901"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3156\/jsoft.29.5_177_2"},{"key":"ref49","first-page":"2172","article-title":"InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref50","article-title":"Unsupervised domain adaptation by backpropagation","author":"Ganin","year":"2014","journal-title":"arXiv:1409.7495"},{"key":"ref51","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"Ioffe","year":"2015","journal-title":"arXiv:1502.03167"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref55","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2021.07.017"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2017.187"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2847291"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.04.007"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.11.007"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.04.014"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2007.897251"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2011.6082854"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2199506"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2267054"},{"key":"ref67","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.137"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2006.880641"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.08.016"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/9893028\/09662983.pdf?arnumber=9662983","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T00:34:19Z","timestamp":1704846859000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9662983\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":73,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tits.2021.3135015","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9]]}}}