Name
Abstract | ||
|---|---|---|
In this paper we propose a method to evaluate segmentation cuts for handwritten touching digits. The idea of this method is to work as a filter in segmentation-based recognition system. This kind of system usually rely on over-segmentation methods, where several segmentation hypotheses are created for each touching group of digits and then assessed by a general-purpose classifier. The novelty of the proposed methodology lies in the fact that unnecessary segmentation cuts can be identified without any attempt of classification by a general-purpose classifier, reducing the number of paths in a segmentation graph, what can consequently lead to a reduction in computational cost. An cost-based approach using ROC (receiver operating characteristics) was deployed to optimize the filter. Experimental results show that the filter can eliminate up to 83% of the unnecessary segmentation hypothesis and increase the overall performance of the system. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.patcog.2008.03.019 | Pattern Recognition |
Keywords | Field | DocType |
handwriting recognition segmentation filtering,touching group,unnecessary segmentation cut,segmentation-based recognition system,segmentation cut,segmentation graph,digit string recognition,general-purpose classifier,unnecessary segmentation hypothesis,over-segmentation method,handwritten touching digit,segmentation hypothesis,filtering segmentation cut,segmentation,handwriting recognition,filtering,receiver operator characteristic | Computer vision,Scale-space segmentation,Pattern recognition,Segmentation,Segmentation-based object categorization,Filter (signal processing),Handwriting recognition,Image segmentation,Artificial intelligence,Classifier (linguistics),Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
41 | 10 | Pattern Recognition |
Citations | PageRank | References |
18 | 0.69 | 15 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| E. Vellasques | 1 | 18 | 0.69 |
| L. S. Oliveira | 2 | 385 | 25.17 |
| Alceu S. Britto Jr. | 3 | 97 | 8.53 |
| Alessandro L. Koerich | 4 | 525 | 39.59 |
| Robert Sabourin | 5 | 908 | 61.89 |