Plant recognition system based on extreme learning machine by using shearlet transform and new geometric features

Highlights: Graphical/Tabular Abstract • A new ES-based feature extraction method for plant classification • Hybrid feature extraction network based plant classification system • High classification performance The proposed hybrid system includes an image-based leaf identification system consisting of three main phases which pre-processing, feature extraction, and classification. According to the working principle of feature extraction methods, a number of pre-treatment methods have been applied. Then, the z-score normalization process is applied by combining all the features obtained from these methods. Finally, the classification and testing step are carried out using the Extreme Learning Machines method.

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