Name
Abstract | ||
|---|---|---|
In pattern recognition is necessary to have a number of features to identify each class. This article presents approaches for feature selection and classification in pattern recognition in digital images using intelligent algorithms. The question to work, a theoretical framework and related work on the subject are developed, experiments are proposed and results are shown. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/LARC.2011.6086826 | LARC |
Keywords | DocType | ISBN |
image recognition,digital images,effective feature selection,feature classification,image pattern recognition,intelligent approaches,feature vector,genetic algorithms,neural networks,pattern recognition | Conference | 978-1-4577-1689-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Margarita R. Gamarra | 1 | 0 | 0.34 |
| Christian G. Quintero | 2 | 8 | 4.81 |
| Quintero, M.C.G. | 3 | 2 | 0.72 |