Name
Abstract | ||
|---|---|---|
This paper presents a character segmentation method to address automatic number plate recognition problem. The method considered pixel intensity, character appearance, and arrangement of characters altogether to segment character regions. The method firstly discovers candidate blobs of characters by using connected component analysis and appearance-based character detection. A character recognizer is used for removing redundant and noisy blobs. Then, a trained classifier selects character blobs among the candidates by examining arrangement of the blobs. Experimental results show an achievement of 98.3% of segmentation rate, which prove the effectiveness of our method. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/MMSP.2012.6343467 | MMSP |
Keywords | Field | DocType |
character arrangement,connected component analysis,trained classifier,blob detection,character candidate blob discovery,character recognizer,image segmentation,appearance-based character detection,character recognition,blob filtering,pixel intensity,automatic number plate recognition problem,image classification,license plates character segmentation,object detection,filtering theory,character appearance | Computer vision,Object detection,Scale-space segmentation,Pattern recognition,Computer science,Segmentation,Image segmentation,Blob detection,Pixel,Artificial intelligence,Contextual image classification,Connected-component labeling | Conference |
ISSN | ISBN | Citations |
2163-3517 | 978-1-4673-4571-2 | 1 |
PageRank | References | Authors |
0.35 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youngwoo Yoon | 1 | 23 | 6.15 |
| Kyu-Dae Ban | 2 | 4 | 1.75 |
| Ho-Sub Yoon | 3 | 127 | 10.75 |
| Jaehong Kim | 4 | 383 | 41.59 |