{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:06:24Z","timestamp":1743138384078,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819982950"},{"type":"electronic","value":"9789819982967"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-981-99-8296-7_46","type":"book-chapter","created":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T00:04:14Z","timestamp":1700179454000},"page":"606-612","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Improving Warped Planar Object Detection Network for Automatic License Plate Recognition"],"prefix":"10.1007","author":[{"given":"Nguyen Dinh","family":"Tra","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nguyen Cong","family":"Tri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Phan Duy","family":"Hung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,17]]},"reference":[{"key":"46_CR1","unstructured":"Zou, Z., et al.: Object detection in 20 years: a survey. arXiv:1905.05055 (2019)"},{"issue":"1","key":"46_CR2","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/S0734-189X(85)90153-7","volume":"29","author":"RM Haralick","year":"1985","unstructured":"Haralick, R.M., Linda, G.S.: Image segmentation techniques. Comput. Vision Graph. Image Process. 29(1), 100\u2013132 (1985)","journal-title":"Comput. Vision Graph. Image Process."},{"key":"46_CR3","doi-asserted-by":"crossref","unstructured":"Logothetis, N.K., David L.S.: Visual object recognition. Ann. Rev. Neurosci. 19(1), 577\u2013621 (1996)","DOI":"10.1146\/annurev.ne.19.030196.003045"},{"key":"46_CR4","doi-asserted-by":"crossref","unstructured":"Bewley, A., Ge, Z., Ott, L., Ramos, F., Upcroft, B.: Simple online and realtime tracking. In: Proceedings of the IEEE International Conference on Image Processing (ICIP), pp. 3464\u20133468 (2016)","DOI":"10.1109\/ICIP.2016.7533003"},{"key":"46_CR5","doi-asserted-by":"crossref","unstructured":"Richard, S.: Image alignment and stitching: a tutorial. Found. Trends\u00ae Comput. Graph. Vision 2(1), 1\u2013104 (2007)","DOI":"10.1561\/0600000009"},{"key":"46_CR6","doi-asserted-by":"crossref","unstructured":"Silva, S.M., Jung, C.R.: License plate detection and recognition in unconstrained scenarios. In: Proceedings of the European Conference on Computer Vision (ECCV), vol. 11216, pp. 580\u2013596 (2018)","DOI":"10.1007\/978-3-030-01258-8_36"},{"key":"46_CR7","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, pp. 779\u2013788 (2016)","DOI":"10.1109\/CVPR.2016.91"},{"key":"46_CR8","doi-asserted-by":"crossref","unstructured":"Liu, W., et al.: SSD: single shot multibox detector. arXiv:1512.02325 (2016)","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"46_CR9","unstructured":"Jaderberg, M., Karen S., Andrew Z.: Spatial transformer networks. In: Advances in Neural Information Processing Systems, vol. 28 (2015)"},{"key":"46_CR10","doi-asserted-by":"crossref","unstructured":"Silva, S.M., Jung, C.R.: A flexible approach for automatic license plate recognition in unconstrained scenarios. IEEE Trans. Intell. Transp. Syst. 23(6), 5693\u20135703 (2022)","DOI":"10.1109\/TITS.2021.3055946"},{"key":"46_CR11","doi-asserted-by":"crossref","unstructured":"Torre, V., Poggio, T.A.: On edge detection. IEEE Trans. Pattern Anal. Mach. Intell. PAMI-8(2), 147\u2013163 (1986)","DOI":"10.1109\/TPAMI.1986.4767769"},{"key":"46_CR12","doi-asserted-by":"crossref","unstructured":"Vincent, O., Folorunso, O.: A descriptive algorithm for Sobel image edge detection. In: Proceedings of the InSITE 2009: Informing Science + IT Education Conference (2009)","DOI":"10.28945\/3351"},{"key":"46_CR13","unstructured":"Abadi, M., et al.: TensorFlow: a system for large-scale machine learning. arXiv:1605.08695 (2016)"},{"key":"46_CR14","doi-asserted-by":"crossref","unstructured":"Hsu, G.-S., Chen, J.-C., Chung, Y.-Z.: Application-oriented license plate recognition. IEEE Trans. Veh. Technol. 62(2), 552\u2013561 (2013)","DOI":"10.1109\/TVT.2012.2226218"},{"key":"46_CR15","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1134\/S1054661821020073","volume":"31","author":"PD Hung","year":"2021","unstructured":"Hung, P.D., Su, N.T.: Unsafe construction behavior classification using deep convolutional neural network. Pattern Recognit. Image Anal. 31, 271\u2013284 (2021)","journal-title":"Pattern Recognit. Image Anal."},{"key":"46_CR16","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1007\/978-3-030-82616-1_13","volume-title":"Proceedings of International Conference on Emerging Technologies and Intelligent Systems","author":"NT Su","year":"2022","unstructured":"Su, N.T., Hung, P.D., Vinh, B.T., Diep, V.T.: Rice leaf disease classification using deep learning and target for mobile devices. In: Al-Emran, M., Al-Sharafi, M.A., Al-Kabi, M.N., Shaalan, K. (eds.) ICETIS 2021. LNNS, vol. 299, pp. 136\u2013148. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-82616-1_13"}],"container-title":["Communications in Computer and Information Science","Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-8296-7_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,2]],"date-time":"2024-11-02T03:37:56Z","timestamp":1730518676000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-8296-7_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819982950","9789819982967"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-8296-7_46","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"17 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"FDSE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Future Data and Security Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Da Nang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"fdse2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/thefdse.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EquinOCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"135","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"28% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}