Cattle Brand Recognition using Convolutional Neural Network and Support Vector Machines

The recognition images of cattle brand in an automatic way is a necessity to governmental organs responsible for this activity. To help this process, this work presents a method that consists in using Convolutional Neural Network for extracting of characteristics from images of cattle brand and Support Vector Machines for classification. This method consists of six stages: a) select database of images; b) select pre-trained CNN; c) pre-process the images and apply CNN; d) extract images of features; e) train and sort images (SVM); f) evaluate the classification results. The accuracy of the method was tested on database of municipal city hall, where it achieved satisfactory results, comparable to other methods from the literature, reporting 93.28% of accuracy and 12.716 seconds of processing time, respectively.