Name
Abstract | ||
|---|---|---|
License plate image binarization is a critical step in Automatic Number Plate Recognition(ANPR) systems and is essential for character segmentation. Generally Otsu(global) or adaptive(local) thresholding methods are commonly used, but each of them may have a shortcoming in terms of segmenting all the characters accurately or Optical Character Recognition(OCR) reading when the plate is not cropped exactly. In this paper we propose a feedback based approach which fuses global and local thresholding methods. Local thresholding method is applied first to extract the character candidates and plate is cropped exactly using the spatial information of the extracted characters. Global thresholding method is applied over the re-cropped plate. Experimental results show the recovery of the number plate reading using the proposed method which are missed or inaccurately read when the global or local thresholding methods are used individually. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICSPCS.2015.7391802 | 2015 9th International Conference on Signal Processing and Communication Systems (ICSPCS) |
Keywords | Field | DocType |
feedback based method,license plate image binarization,automatic number plate recognition systems,character segmentation,adaptive thresholding methods,optical character recognition,feedback based approach,local thresholding method,global thresholding method,recropped plate | Spatial analysis,Computer vision,Pattern recognition,Computer science,Segmentation,Optical character recognition,Image segmentation,Artificial intelligence,Thresholding,Balanced histogram thresholding,Fuse (electrical),License | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mandar Sovani | 1 | 0 | 0.34 |
| Duc Vo | 2 | 0 | 0.34 |
| Subhash Challa | 3 | 252 | 24.96 |
| M. Palaniswami | 4 | 4107 | 290.84 |