Name
Abstract | ||
|---|---|---|
During the documents scanning process, a few degrees of skew is unavoidable. Which will cause some adverse effects on the documents identification, such as Optical Character Recognition (ORC). This paper presents a scanned document images skew estimation and correction algorithm based on Shearlet transform. Shearlet transform offers very good time-frequency localization and direction selectivity. It is possible to detect the skew orientation of the document images accurately. Experimental results show that the proposed algorithm has a high accuracy rate of skew estimation even the scanned document images contain noise or include some pictures or diagrams. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-26181-2_21 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
Shearlet transform,OCR,Skew correction | Computer vision,Correction algorithm,Skew estimation,Pattern recognition,Computer science,Shearlet transform,Optical character recognition,Skew,Artificial intelligence | Conference |
Volume | ISSN | Citations |
9426 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fan Zhang | 1 | 20 | 6.23 |
| Yifan Zhang | 2 | 0 | 0.34 |
| Xingxing Qu | 3 | 0 | 0.34 |
| Bin Liu | 4 | 99 | 13.19 |
| Ruoya Zhang | 5 | 0 | 0.34 |