Based on digital image processing techniques, the goal of this work is develop a method to automatically detect license plates.
To achieve this goal, this thesis estimates the change of gray value on pixels to first find the position of the license plate. A number of image processing techniques are then developed to identify each character on the license plate. Finally, experimental results are given to demonstrate the effectiveness of the proposed approach, which is the followed by a simple conclusion.
Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0713105-104229 |
Date | 13 July 2005 |
Creators | Chen, Chen-Kwan |
Contributors | none, none, none |
Publisher | NSYSU |
Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
Language | Cholon |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0713105-104229 |
Rights | unrestricted, Copyright information available at source archive |
Page generated in 0.0016 seconds