Md Sallah, S.S. and Hussin, F.A. and Yusoff, M.Z. (2010) Shape-based road sign detection and recognition for embedded application using MATLAB. In: UNSPECIFIED.
Full text not available from this repository.Abstract
In this paper, we propose a road sign detection and recognition algorithm for an embedded application. The algorithm is based on the Hough transform method to detect lines in order to identify and determine the shape of the road sign. Shape measurements are currently employed to identify the road sign ratios of area and perimeter. The variables are compared with the template library which we have developed. In order to evaluate the accuracy, the proposed algorithm was tested on most of the Malaysian road signs, and the results are reported in this paper. Successful detection and recognition rate is about 83.67.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 6; Conference of 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:84196 |
Uncontrolled Keywords: | Embedded application; Malaysians; Recognition algorithm; Recognition rates; Road sign; Road sign detection; Road signs; Shape based; Shape measurements; Template libraries; Transform methods, Algorithms; Hough transforms; Mathematical transformations; Roads and streets, Traffic signs |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:49 |
Last Modified: | 09 Nov 2023 15:49 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/952 |