Name
Abstract | ||
|---|---|---|
In this paper, a morphological vehicle license plate locating method in complex background was provided. First, a pre-segmentation is implemented to reduce the locating interference. In order to suppress noise and enhance the edge information, mathematical morphological multi-scale edge detection is adopted, and different scale structuring elements are constructed. After that, use a series of morphological operations to binarized image, the plate image is divided into separate connected regions, Connected Component Labeling is implemented to detect the plate region, then the plate location is isolated according to shape features of license plate. From the experiments one can conclude that this method can locate license plates in complex background accurately. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/RVSP.2011.18 | RVSP |
Keywords | Field | DocType |
morphological license plate locating,noise suppression,plate location,morphological operation,morphological vehicle license plate,multi-scale structuring elements,traffic engineering computing,license plate locating,image segmentation,image presegmentation,connected component labeling,complex background,image denoising,edge information enhancement,mathematical morphology,edge detection,license plate,locating interference,mathematical morphological multiscale edge detection,edge information,plate image,morphological vehicle license plate locating method,plate region,mathematical morphological multi-scale edge,binarized image,accuracy,connected component,noise,feature extraction,morphology | Computer vision,Pattern recognition,Mathematical morphology,Edge detection,Computer science,Image segmentation,Feature extraction,Interference (wave propagation),Artificial intelligence,Connected-component labeling,Structuring,License | Conference |
ISBN | Citations | PageRank |
978-1-4577-1881-6 | 0 | 0.34 |
References | Authors | |
1 | 1 | |