A Flower Classification Method Combining DenseNet Architecture with SVM
2020 16th International Conference on Computational Intelligence and Security (CIS)（2020）
摘要
Identifying flowers becomes an urgent challenge due to the light intensity at different shooting angles, complex backgrounds and similarities of different flower species. A classification method DN-F-SVM based on combining DenseNet architecture with Support Vector Machine (SVM) is proposed for flower recognition. First a convolutional architecture DenseNet with the characteristics of dense connect...
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关键词
Support vector machines,Measurement,Computer architecture,Feature extraction,Mobile applications,Security,Convolutional neural networks
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