| dc.contributor.author | Do, Nguyen Quang | |
| dc.date.accessioned | 2014-12-02T03:33:15Z | |
| dc.date.accessioned | 2018-05-23T02:16:53Z | |
| dc.date.available | 2014-12-02T03:33:15Z | |
| dc.date.available | 2018-05-23T02:16:53Z | |
| dc.date.issued | 2012 | |
| dc.identifier.uri | http://10.8.20.7:8080/xmlui/handle/123456789/1204 | |
| dc.description.abstract | Intelligent Transport Systems (ITS) have great potential to save time, to save money. ITS‟s have considerable potential to be a future commercial success. Automatic road sign recognition method is one of the importance fields in the ITS. This is due to the importance of the road signs and traffic signals in daily life. In this work, Speed Limit Traffic Sign Detection & Recognition will be studied. The system works in two layers: Sign detection and sign recognition. Sign detection finds signs in images using color thresholding and sign recognition reads the digits on the sign. After this study, the object detection and recognition methods are known. They can be applied in other fields in Image Processing. | en_US |
| dc.description.sponsorship | Dao Thi Thuong | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | International University HCMC, Vietnam | en_US |
| dc.relation.ispartofseries | ;022001806 | |
| dc.subject | Detection device - Traffic signs | en_US |
| dc.title | Speed limit traffic sign detection & recognition | en_US |
| dc.type | Thesis | en_US |
