{ "ok": true, "doi": "10.46243/jstj.2017.v2.i2.146", "doi_display": "10.46243/jstj.2017.v2.i2.146", "doi_url": "https://doi.org/10.46243/jstj.2017.v2.i2.146", "state": "registered", "url": "https://www.jst.org.in/index.php/pub/article/view/146", "title": "Traffic Sign Detection and RecognitionUsing Colour Features towards Intelligent Vehicle/Driver Assistance System", "version": 2, "registered_via": "crossref", "prefix": { "prefix": "10.46243", "status": "live" }, "registrant": { "name": "Longman Publishers", "kind": "publisher", "country": "India" }, "reserved_at": null, "registered_at": "2026-09-29 22:00:32", "updated_at": "2026-09-29 23:59:52", "withdrawn_at": null, "withdrawn_reason": null, "record": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jstj.2017.v2.i2.146", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "Traffic Sign Detection and RecognitionUsing Colour Features towards Intelligent Vehicle/Driver Assistance System", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jstj.2017.v2.i2.146" } ], "agents": [ { "role": "author", "name": { "given": "Shabnam", "family": "Parveen" }, "sequence": "first" }, { "role": "author", "name": { "given": "Faria", "family": "Haque" }, "sequence": "additional" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2017-03-01", "date_type": "PublicationDate", "online": "2017-03-01" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "02", "issue": "02", "pages": { "first": "41", "last": "47" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/146", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/146/125", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/146/3581", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://www.jst.org.in/index.php/pub/article/view/146/125", "purpose": "similarity-checking" } ], "abstract": { "value": "To give sheltered and symphonies stream of movement , particular standards are given by each administration . There are certain rules laid down by the government of most of the countries for the safe, systematic and orderly movement of vehicles and traffic. Many of these rules are displayed through traffic signs to help the driver to follow while driving. The Traffic Sign Detection and Recognition (TSDR) perceives the activity signs by dissecting pictures /recordings taken from a camera system and helps in detecting and recognizing the traffic signs by analyzing images / videos captured by the camera planted on the car. This framework has many elements which help the driver in enhancing the well being and solace; today it is broadly utilized as a part of discovery and acknowledgement of our perceived signs. The framework of system can be developed using two algorithms, first is the detection of the image followed by its recognition. In wake of getting the best possible information for recognition we utilize the diverse morphological handling procedures. Colour Image processing play an vital role in the detection of the traffic sign. In this paper we chiefly accentuation on the color/shade of the activity sign for its recognition on the grounds that in many spots a standard arrangement of hues are utilized as a part of movement sign like redis used in prohibition signs. In the directional signs blue is the foundation shading in the directional signs and yellow is chosen for warning signs.", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2017-03-01", "applies_to": "vor" }, "references": [ { "key": "ref1", "unstructured": "Traffic sign recognition, http://en.wikipedia.org/wiki/Traffic_sign_recognition" }, { "key": "ref2", "unstructured": "U. Zakir, I. Zafar, E. A. Edirisinghe, Road Sign Detection and Recognition by using Local Energy Based Shape Histogram (LESH), International Journal of Image Processing Volume 4 Issue 6, ISSN: 1985-2304" }, { "key": "ref3", "unstructured": "A. Ford and A. Roberts, Colour space conversions," }, { "key": "ref4", "doi": "10.1080/00140139408963670", "unstructured": "D. Travis, Effective Color Displays Theory and Practice. Academic Press,1991, ISBN 0-12-697690-2" }, { "key": "ref5", "unstructured": "R. C. Gonzalez, R. E Woods, Digital image processing, Second Edition, 2002, ISBN 0-201-18075-8" }, { "key": "ref6", "unstructured": "H. Fleyeh, Traffic and Road Sign Recognition, PhD Thesis submitted at Napier University. " }, { "key": "ref7", "unstructured": "RGB Colour Space, " }, { "key": "ref8", "doi": "10.1109/ccece.2003.1226265", "unstructured": "M. Benallal and J. Meunier, Real-time color segmentation of road signs, IEEE CCECE 2003 Canadian Conference on Electrical and Computer Engineering, 2003" }, { "key": "ref9", "unstructured": "Scientific paper by M.Attik and M.F.Beli, “HSV color space” http://www.tai.telecom paristech" }, { "key": "ref10", "doi": "10.4304/jcp.8.5.1366-1370", "unstructured": "Detection and Recognition of Traffic Signs Based on HSV Vision Model and Shape features(JOURNAL OF COMPUTERS, VOL. 8, NO. 5, MAY 2013)-Yixin Chen, Yi Xie and Yulin Wang, International School of Software, Wuhan University, Wuhan, China" }, { "key": "ref11", "unstructured": "Scientific paper by Manpreet Kaur in International Journal of Engineering Research Application(IJERA) Vol. 3, Issue 2, March-April 2013" }, { "key": "ref12", "unstructured": "H. Fleyeh, and M. Dougherty, “Road And Traffic Sign Detection And Recognition”, Proceedings of the 16th Mini-EURO Conference and 10th Meeting of EWGT" } ], "record": { "registrant": "Longman Publishers", "registered": "2026-09-07", "updated": "2026-09-20", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "record_sha256": "dc38064e1f9af06b0dda00f7750384dc5a796945e36a7cc1b2b5110d96de83c5", "handle": { "synced_at": "2026-10-01 18:13:31", "url": "https://www.jst.org.in/index.php/pub/article/view/146" }, "links": { "record_page": "https://registry.smartscholars.in/record.php?doi=10.46243%2Fjstj.2017.v2.i2.146", "system_metadata": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjstj.2017.v2.i2.146&as=system", "history": "https://registry.smartscholars.in/api.php?action=history&doi=10.46243%2Fjstj.2017.v2.i2.146", "kernel_xml": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjstj.2017.v2.i2.146&as=xml" } }