Name
Title | ||
|---|---|---|
Multiple line skew estimation of handwritten images of documents based on a visual perception approach |
Abstract | ||
|---|---|---|
This paper introduces Viskew: a new algorithm to estimate the skew of text lines in digitized documents. The algorithm is based on a visual perception approach where transition maps and morphological operators simulate human visual perception of documents. The algorithm was tested in a set of 19,500 synthetic text line images and 400 images of documents with multiple skew angles. The skew angles for the synthetic dataset are known and our algorithm achieved the lowest mean square error in average when compared with two other algorithms. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-23678-5_15 | CAIP (2) |
Keywords | Field | DocType |
synthetic text line image,human visual perception,multiple skew angle,multiple line skew estimation,morphological operator,visual perception approach,synthetic dataset,new algorithm,text line,digitized document,handwritten image,skew angle,visual perception,document processing | Computer vision,Skew estimation,Human visual perception,Pattern recognition,Computer science,Document processing,Mean squared error,Operator (computer programming),Skew,Artificial intelligence,Visual perception | Conference |
Volume | ISSN | Citations |
6855 | 0302-9743 | 1 |
PageRank | References | Authors |
0.37 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos A. B. Mello | 1 | 77 | 14.53 |
| Angel Sanchez | 2 | 84 | 5.73 |
| George D. C. Cavalcanti | 3 | 451 | 52.60 |