Please use this identifier to cite or link to this item: http://ir.unikl.edu.my/jspui/handle/123456789/5837
metadata.fyp.dc.title: Study on Traffic Sign Recognition
metadata.fyp.dc.contributor.*: Illanggo A/L Muniandy
metadata.fyp.dc.subject: Traffic sign recognition
metadata.fyp.dc.date.issued: 7-Mar-2014
metadata.fyp.dc.description.abstract: Traffic sign recognition can help the driver to make a right decision at the right time for safe driving. The realization of traffic sign recognition system usually divided into three stages: detection; tracking and classification, This paper presented an algorithm for detection of traffic sign using convert region of interest (ROI) polygon to region mask method. The algorithm detects the traffic sign from the images captured from different environment and different position angle. The proposed method extracts and classified the detected sign according to black and white pixels by using image segmentation method. The sign is further classified into black and white pixels according to its input signs. In this paper introduces the main difficulties in road sign recognition with further discussion on the potential trend of road sign recognition.
metadata.fyp.dc.description: Bachelor of Engineering Technology in Mechatronics (Automotive)
metadata.fyp.dc.identifier.uri: http://ir.unikl.edu.my/jspui/handle/123456789/5837
Appears in Collections:Final Year Project - UniKL MSI

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