{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T11:08:04Z","timestamp":1753355284263,"version":"3.37.3"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"30","license":[{"start":{"date-parts":[[2021,9,2]],"date-time":"2021-09-02T00:00:00Z","timestamp":1630540800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,9,2]],"date-time":"2021-09-02T00:00:00Z","timestamp":1630540800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1007\/s11042-021-11233-z","type":"journal-article","created":{"date-parts":[[2021,9,3]],"date-time":"2021-09-03T22:22:38Z","timestamp":1630707758000},"page":"36237-36248","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["A vehicle plate recognition system based on deep learning algorithms"],"prefix":"10.1007","volume":"80","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3707-6135","authenticated-orcid":false,"given":"Taoufik","family":"Saidani","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yamen El","family":"Touati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,2]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Afif M, Ayachi R, Pissaloux E, Said Y, Atri M (2020) Indoor objects detection and recognition for an ICT mobility assistance of visually impaired people. Multimed Tools Appl: 1\u201318","key":"11233_CR1","DOI":"10.30564\/aia.v1i1.925"},{"doi-asserted-by":"crossref","unstructured":"Afif M, Ayachi R, Said Y, Pissaloux E, Atri M (2020) An evaluation of retinanet on indoor object detection for blind and visually impaired persons assistance navigation. Neural Process Lett pp1\u201315","key":"11233_CR2","DOI":"10.30564\/aia.v1i1.925"},{"issue":"5","key":"11233_CR3","doi-asserted-by":"publisher","first-page":"745","DOI":"10.1049\/iet-its.2018.5151","volume":"13","author":"MdY Arafat","year":"2019","unstructured":"Arafat MdY, Khairuddin ASM, Khairuddin U, Paramesran R (2019) Systematic review on vehicular licence plate recognition framework in intelligent transport systems. IET Intell Transport Syst 13(5):745\u2013755","journal-title":"IET Intell Transport Syst"},{"issue":"1","key":"11233_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.30564\/aia.v1i1.569","volume":"1","author":"R Ayachi","year":"2019","unstructured":"Ayachi R, Said YE, Atri M (2019) To perform road signs recognition for autonomous vehicles using cascaded deep learning pipeline. Artif Intell Adv 1(1):1\u201358","journal-title":"Artif Intell Adv"},{"issue":"12","key":"11233_CR5","doi-asserted-by":"publisher","first-page":"2481","DOI":"10.1109\/TPAMI.2016.2644615","volume":"39","author":"V Badrinarayanan","year":"2017","unstructured":"Badrinarayanan V, Kendall A, Cipolla R (2017) Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE Trans Pattern Anal Mach Intell 39(12):2481\u20132495","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"doi-asserted-by":"crossref","unstructured":"Balaban S (2015) Deep learning and face recognition: the state of the art. In: Biometric and surveillance technology for human and activity identification XII, vol 9457. B. International Society for Optics and Photonics, Bellingham, p 94570","key":"11233_CR6","DOI":"10.1117\/12.2181526"},{"key":"11233_CR7","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.imavis.2019.04.007","volume":"87","author":"R-C Chen","year":"2019","unstructured":"Chen R-C (2019) Automatic License Plate Recognition via sliding-window darknet-YOLO deep learning. Image Vis Comput 87:47\u201356","journal-title":"Image Vis Comput"},{"unstructured":"Dai J, Li Y, He K, Sun J (2016) R-fcn: Object detection via region-based fully convolutional networks. Advances in neural information processing systems, pp 379\u2013387","key":"11233_CR8"},{"doi-asserted-by":"crossref","unstructured":"Deng J, Dong W, Socher R, Li L-J, Li K, Li F-F (2009) Imagenet: A large-scale hierarchical image database. In: 2009 IEEE conference on computer vision and pattern recognition. IEEE, New York, pp 248\u2013255","key":"11233_CR9","DOI":"10.1109\/CVPR.2009.5206848"},{"doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 770\u2013778","key":"11233_CR10","DOI":"10.1109\/CVPR.2016.90"},{"unstructured":"Howard AG, Zhu M, Chen B, Kalenichenko D, Wang W, Weyand T, Andreetto M, Adam H (2017) Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861","key":"11233_CR11"},{"unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems, pp 1097\u20131105","key":"11233_CR12"},{"doi-asserted-by":"crossref","unstructured":"Kurpiel FD, Minetto R, Nassu BT (2017) Convolutional neural networks for license plate detection in images. In: 2017 IEEE International Conference on Image Processing (ICIP). IEEE, New York, pp 3395\u20133399","key":"11233_CR13","DOI":"10.1109\/ICIP.2017.8296912"},{"unstructured":"LabelImg is a graphical image annotation tool and label object bounding boxes in images Available at: https:\/\/github.com\/tzutalin\/labelImg","key":"11233_CR14"},{"issue":"7553","key":"11233_CR15","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun Y, Bengio Y (2015) Deep learning. Nature 521(7553):436\u2013444","journal-title":"Nature"},{"doi-asserted-by":"crossref","unstructured":"Li Q, Cai W, Wang X, Zhou Y, Feng DD, Chen M (2014) Medical image classification with convolutional neural network. In: 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV). IEEE, New York, pp 844\u2013848","key":"11233_CR16","DOI":"10.1109\/ICARCV.2014.7064414"},{"key":"11233_CR17","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.imavis.2018.02.002","volume":"72","author":"H Li","year":"2018","unstructured":"Li H, Wang P, You M, Shen C (2018) Reading car license plates using deep neural networks. Image Vis Comput 72:14\u201323","journal-title":"Image Vis Comput"},{"doi-asserted-by":"crossref","unstructured":"Lin T-Y, Maire M, Belongie S, Hays J, Perona P, Ramanan D, Doll\u00e1r P, Lawrence Zitnick C (2014) Microsoft coco: Common objects in context. In: European conference on computer vision. Springer, Cham, pp 740\u2013755","key":"11233_CR18","DOI":"10.1007\/978-3-319-10602-1_48"},{"doi-asserted-by":"crossref","unstructured":"Liu W, Anguelov D, Erhan D, Szegedy C, Reed S, Fu C-Y, Berg AC (2016) Ssd: Single shot multibox detector. In: European conference on computer vision. Springer, Cham, pp 21\u201337","key":"11233_CR19","DOI":"10.1007\/978-3-319-46448-0_2"},{"issue":"6","key":"11233_CR20","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1109\/MSP.2017.2739299","volume":"34","author":"MT McCann","year":"2017","unstructured":"McCann MT, Jin KH, Unser M (2017) Convolutional neural networks for inverse problems in imaging: A review. IEEE Signal Process Mag 34(6):85\u201395","journal-title":"IEEE Signal Process Mag"},{"unstructured":"O\u2019Shea K, Nash R (2015) An introduction to convolutional neural networks. arXiv preprint arXiv:1511.08458","key":"11233_CR21"},{"doi-asserted-by":"crossref","unstructured":"Peker M (2019) Comparison of tensorflow object detection networks for licence plate localization. In: 2019 1st Global Power, Energy and Communication Conference (GPECOM). IEEE, New York, pp 101\u2013105","key":"11233_CR22","DOI":"10.1109\/GPECOM.2019.8778602"},{"doi-asserted-by":"crossref","unstructured":"Redmon J, Farhadi A (2017) YOLO9000: better, faster, stronger. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 7263\u20137271","key":"11233_CR23","DOI":"10.1109\/CVPR.2017.690"},{"doi-asserted-by":"crossref","unstructured":"Redmon J, Divvala S, Girshick R, Farhadi A (2016) You only look once: Unified, real-time object detection. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 779\u2013788","key":"11233_CR24","DOI":"10.1109\/CVPR.2016.91"},{"unstructured":"Ren S, He K, Girshick R, Sun J (2015) Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems, pp 91\u201399","key":"11233_CR25"},{"doi-asserted-by":"crossref","unstructured":"Shen S,\u00a0 Wang L, Duan S (2020) Car plate detection based on Yolov3. Journal of Physics: Conference Series: 1544","key":"11233_CR26","DOI":"10.1088\/1742-6596\/1544\/1\/012039"},{"doi-asserted-by":"crossref","unstructured":"Szegedy C, Liu W, Jia Y, Sermanet P, Reed S, Anguelov D, Erhan D, Vanhoucke V, Rabinovich A (2015) Going deeper with convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1\u20139","key":"11233_CR27","DOI":"10.1109\/CVPR.2015.7298594"},{"doi-asserted-by":"crossref","unstructured":"Szegedy C, Vanhoucke V, Ioffe S, Shlens J, Wojna Z (2016) Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2818\u20132826","key":"11233_CR28","DOI":"10.1109\/CVPR.2016.308"},{"doi-asserted-by":"crossref","unstructured":"Afif M, Ayachi R, Said Y, Atri M (2020) Traffic Signs detection for real-world application of an advanced driving assisting system using deep learning. Neural Processing Letters pp 837\u2013851","key":"11233_CR29","DOI":"10.1007\/s11063-019-10115-8"},{"doi-asserted-by":"crossref","unstructured":"Yang S, Luo P, Loy C-C, Tang X (2016) Wider face: A face detection benchmark. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 5525\u20135533","key":"11233_CR30","DOI":"10.1109\/CVPR.2016.596"},{"doi-asserted-by":"crossref","unstructured":"Yonetsu S, Iwamoto Y, Chen YW (2019) Two-stage YOLOv2 for accurate license-plate detection in complex scenes. In: 2019 IEEE International Conference on Consumer Electronics (ICCE). IEEE, New York, pp 1\u20134","key":"11233_CR31","DOI":"10.1109\/ICCE.2019.8661944"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-11233-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-021-11233-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-11233-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,3]],"date-time":"2021-12-03T20:56:44Z","timestamp":1638565004000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-021-11233-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,2]]},"references-count":31,"journal-issue":{"issue":"30","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["11233"],"URL":"https:\/\/doi.org\/10.1007\/s11042-021-11233-z","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2021,9,2]]},"assertion":[{"value":"5 October 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 January 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 July 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 September 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}