Name
Title | ||
|---|---|---|
Automatic Chinese Postal Address Block Location Using Proximity Descriptors and Cooperative Profit Random Forests. |
Abstract | ||
|---|---|---|
Locating the destination address block is key to automated sorting of mails. Due to the characteristics of Chinese envelopes used in mainland China, we here exploit proximity cues in order to describe the investigated regions on envelopes. We propose two proximity descriptors encoding spatial distributions of the connected components obtained from the binary envelope images. To locate the destinat... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIE.2017.2764866 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Feature extraction,Training,Image segmentation,Shape,Labeling,Sorting,Postal services | Data mining,Sorting,Feature extraction,Image segmentation,Connected component,Engineering,Classifier (linguistics),Random forest,Binary number,Encoding (memory) | Journal |
Volume | Issue | ISSN |
65 | 5 | 0278-0046 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinghui Dong | 1 | 34 | 7.06 |
| Junyu Dong | 2 | 393 | 77.68 |
| Huiyu Zhou | 3 | 1303 | 111.91 |
| jianyuan sun | 4 | 4 | 2.77 |
| Dacheng Tao | 5 | 19032 | 747.78 |