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A Feature Fusion Approach for Hand Tools Classification
2017
International Journal of Advanced Computer Science and Applications
The most important functions in objects classification and recognition system are to segment the objects from the input image, extract common features from the objects, and classify these objects as a member of one of the considered object classes. In this paper, we present a new approach for feature-based objects classification. The main idea of the new approach is the fusion of two different feature vectors that are calculated using Fourier descriptors and moment invariants. The fused
doi:10.14569/ijacsa.2017.081013
fatcat:qkzxbhfksfdftlk3ksunw7qlsi