{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T02:22:05Z","timestamp":1769307725464,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":12,"publisher":"Springer Singapore","isbn-type":[{"value":"9789811563140","type":"print"},{"value":"9789811563157","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-15-6315-7_20","type":"book-chapter","created":{"date-parts":[[2020,6,23]],"date-time":"2020-06-23T21:02:51Z","timestamp":1592946171000},"page":"243-253","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Enhancing and Classifying Traffic Signs Using Computer Vision and Deep Convolutional Neural Network"],"prefix":"10.1007","author":[{"given":"Satish Kumar","family":"Satti","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K. Suganya","family":"Devi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prasenjit","family":"Dhar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.","family":"Srinivasan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,15]]},"reference":[{"issue":"5","key":"20_CR1","doi-asserted-by":"publisher","first-page":"1652","DOI":"10.1109\/TITS.2018.2801560","volume":"19","author":"HS Lee","year":"2018","unstructured":"Lee, H.S., Kim, K.: Simultaneous traffic sign detection and boundary estimation using convolutional neural network. IEEE Trans. Intell. Transp. Syst. 19(5), 1652\u20131663 (2018)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Zhu, Y., et al.: Traffic sign detection and recognition using fully convolutional network guided proposals. Neurocomputing 214, 758\u2013766 (2016)","DOI":"10.1016\/j.neucom.2016.07.009"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Arcos-Garc\u00eda, \u00c1., Alvarez-Garcia, J.A., Soria-Morillo, L.M.: Deep neural network for traffic sign recognition systems: an analysis of spatial transformers and stochastic optimisation methods. Neural Netw. 99, 158\u2013165 (2018)","DOI":"10.1016\/j.neunet.2018.01.005"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Mannan, A., et al.: Classification of degraded traffic signs using flexible mixture model and transfer learning. IEEE Access 7, 148800\u2013148813 (2019)","DOI":"10.1109\/ACCESS.2019.2947069"},{"key":"20_CR5","doi-asserted-by":"publisher","unstructured":"Zhang, J., et al.: Lightweight deep network for traffic sign classification. Ann. Telecommun. 1\u201311 (2019). \nhttps:\/\/doi.org\/10.1007\/s12243-019-00731-9","DOI":"10.1007\/s12243-019-00731-9"},{"key":"20_CR6","doi-asserted-by":"publisher","unstructured":"Satti, S.K., et al.: An efficient noise separation technique for removal of Gaussian and mixed noises in monochrome and color images. \nhttps:\/\/doi.org\/10.35940\/ijitee.I1122.0789S219","DOI":"10.35940\/ijitee.I1122.0789S219"},{"key":"20_CR7","doi-asserted-by":"crossref","unstructured":"Stallkamp, J., Schlipsing, M., Salmen, J., Igel, C.: The German traffic sign recognition benchmark: a multi-class classification competition. In: Proceedings of the IEEE International Joint Conference on Neural Networks, pp. 1453\u20131460 (2011)","DOI":"10.1109\/IJCNN.2011.6033395"},{"key":"20_CR8","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1007\/s13244-018-0639-9","volume":"9","author":"R Yamashita","year":"2018","unstructured":"Yamashita, R., Nishio, M., Do, R.K.G., et al.: Convolutional neural networks: an overview and application in radiology. Insights Imaging 9, 611\u2013629 (2018). \nhttps:\/\/doi.org\/10.1007\/s13244-018-0639-9","journal-title":"Insights Imaging"},{"key":"20_CR9","unstructured":"Wali, S.B., et al.: An automatic traffic sign detection and recognition system based on colour segmentation, shape matching, and SVM. Math. Probl. Eng. 2015, 1\u201311 (2015)"},{"issue":"09","key":"20_CR10","first-page":"22","volume":"8","author":"SK Satti","year":"2019","unstructured":"Satti, S.K., Murthy, R.V., Srinivasan, P.: Efficient technique for removal of white and mixed noises in gray scale images. Int. J. Innov. Eng. Manag. Res. 8(09), 22\u201336 (2019)","journal-title":"Int. J. Innov. Eng. Manag. Res."},{"key":"20_CR11","unstructured":"Liu, Z., et al.: Small traffic sign detection from large image. Appl. Intell. 50(1), 1\u201313 (2020)"},{"issue":"10","key":"20_CR12","doi-asserted-by":"publisher","first-page":"13263","DOI":"10.1007\/s11042-018-6428-0","volume":"78","author":"C Han","year":"2019","unstructured":"Han, C., Gao, G., Zhang, Y.: Real-time small traffic sign detection with revised faster-RCNN. Multimedia Tools Appl. 78(10), 13263\u201313278 (2019)","journal-title":"Multimedia Tools Appl."}],"container-title":["Communications in Computer and Information Science","Machine Learning, Image Processing, Network Security and Data Sciences"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-6315-7_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,23]],"date-time":"2020-06-23T21:07:35Z","timestamp":1592946455000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-6315-7_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811563140","9789811563157"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-6315-7_20","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"15 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MIND","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Machine Learning, Image Processing, Network Security and Data Sciences","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Silchar","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mind2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/mind2020.nits.ac.in\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"219","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":"79","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":"4","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":"36% - 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":"4","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)"}}]}}