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Carlos Silva
Federal Institute Farroupilha
Brazil
Juliano Weber
Federal Institute Farroupilha
Brazil
Bruno Belloni
Federal Institute Sul-Rio-Grandense
Brazil
Vol. 8 No. 2 (2019), Articles, pages 19-32
DOI: https://doi.org/10.14201/ADCAIJ2019821932
Accepted: Feb 14, 2020
Copyright

Abstract

This article presents a hybrid method that uses Convolutional Neural Networks (CNN) to segmentation and Support Vector Machines (SVM) to detection the brandings. The experiments were performed using a cattle branding images. Metrics of Overall Accuracy, Recall, Precision, Kappa Coefficient, and Processing Time were used in order to assess the proposed tool. The results obtained here were satisfactory, reaching a Overall Accuracy of 93% in the first experiment with 39 brandings and 1,950 sample images, and 95% of accuracy in the second experiment, with the same 39 brandings, but with 2,730 sample images. The processing time attained in the experiments was 32s and 42s, respectively.

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