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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hua Huang Chao Chen Yulan Jia Shuming Tang |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Electron. & Inf. Eng., Xi'an Jiaotong Univ., Xi'an (Yulan Jia) || Key Lab. of Complex Syst. & Intell. Sci., Shandong Univ. of Sci. & Technol., Beijing (Shuming Tang) || Sch. of Electron. & Inf. Eng., Xi'an Jiaotong Univ., Beijing (Hua Huang; Chao Chen) |
| Abstract | Road sign detection and recognition is an important research issue of driver assistance systems. This paper proposes a two-stage automatic detection and recognition algorithm for the most common road signs in China. In the first phase, color segmentation and Hough transform are used for ROI detection. Considering the difference between the actual road signs and standard road signs, the pictograph on road signs is extracted for recognition. Adaptive Hausdorff distance based on similarity weighting is employed in the recognition phase. The experiment results show the effectiveness for recognition and the insensitivity to slight occlusion. |
| Starting Page | 626 |
| Ending Page | 630 |
| File Size | 5222531 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424423675 |
| DOI | 10.1109/MESA.2008.4735704 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Chaos Automation Shape Roads Space technology Laboratories Brightness Noise robustness Intelligent systems Phase detection |
| Content Type | Text |
| Resource Type | Article |
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