A multiple feature vector framework for forest species recognition

  title={A multiple feature vector framework for forest species recognition},
  author={Paulo Rodrigo Cavalin and Marcelo N. Kapp and Jefferson Martins and Luiz Eduardo Soares de Oliveira},
In this work we focus on investigating the use of multiple feature vectors for forest species recognition. As consequence, we propose a framework to deal with the extraction of multiple feature vectors based on two approaches: image segmentation and multiple feature sets. Experiments conducted on a 112 species database containing microscopic images of wood demonstrate that with the proposed framework we can increase the recognition rates of the system from about 55.7% (with a single feature… CONTINUE READING

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