Name
Abstract | ||
|---|---|---|
This paper focuses on the recognition of 3D objects using 2D attributes. In order to increase the recognition rate, the present an hybridization of three approaches to calculate the attributes of color image, this hybridization based on the combination of Zernike moments, Gist descriptors and color descriptor (statistical moments). In the classification phase, three methods are adopted: Neural Network (NN), Support Vector Machine (SVM), and k-nearest neighbor (KNN). The database COIL-100 is used in the experimental results. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.4018/JECO.2015040105 | JOURNAL OF ELECTRONIC COMMERCE IN ORGANIZATIONS |
Keywords | Field | DocType |
Color Descriptor,Gist Descriptors,KNN,NN,Recognition System,SVM,Zernike Moments | Computer vision,Economics,Recognition system,Pattern recognition,Support vector machine,Neural network nn,Zernike polynomials,Artificial intelligence,Color image,Method of moments (statistics) | Journal |
Volume | Issue | ISSN |
13 | SP2 | 1539-2937 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Khadim | 1 | 0 | 0.34 |
| R. El Ayachi | 2 | 0 | 0.68 |
| M. Fakir | 3 | 5 | 4.14 |