Name
Title | ||
|---|---|---|
Analysis of produce recognition system with taxonomist's knowledge using computer vision and different classifiers. |
Abstract | ||
|---|---|---|
Supermarkets nowadays are equipped with barcode scanners to speed up the checkout process. Nevertheless, most of the agricultural products cannot be pre-packaged and thus must be weighted. The development of produce recognition system based on computer vision could help the cashiers in the supermarkets with the pricing of these weighted products. This work proposes a hybrid approach of object clas... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1049/iet-ipr.2016.0381 | IET Image Processing |
Keywords | Field | DocType |
agricultural products,computer vision,image classification,learning (artificial intelligence),object recognition,statistical analysis | Computer science,Artificial intelligence,Barcode,Speedup,Computer vision,F1 score,3D single-object recognition,Recognition system,Pattern recognition,Bridging (networking),Semantic gap,Machine learning,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
11 | 3 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 17 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun-Kit Chaw | 1 | 0 | 0.34 |
| Musa Mohd Mokji | 2 | 38 | 7.00 |