Identificação de bovinos através de reconhecimento de padrões do espelho nasal utilizando redes neurais artificiais / Identification of bovines through recognition of images patterns of the muzzle using artificial neural nets

AUTOR(ES)
DATA DE PUBLICAÇÃO

2011

RESUMO

Artificial Neural Networks (ANN) are mathematical models associated with artificial intelligence that can learn and generalize information, therefore they can be used as images classifiers. This paper aims to analyze the cattle muzzle in order to prove that it is a unique and permanent characteristic of the animal thus, being used as its unique identification. The experiment was divided into two stages. To make the database of the first phase were used 51 Nelore bovines with an average age of 11 months, from which sixteen images of each animal were collected totalling of 816 images for the database. In the second stage of the experiment 16 bovines from the initial database were used, chosen randomly, with an average age of 23 months. From those 11 images were collected to verify if the standards of the muzzle remain the same after a couple of months, so the animal can be identified. The processing digital image algorithms were implemented using MATLAB® software. After the images processing, vectorized features were used to train and test an artificial neural network using the MLP algorithm, implemented using the C compiler DGW, and was used as a classifier. We also used the algorithm of K nearest neighbors (Knn) to perform the classification tests using a statistical method. The validation of the classifier was performed using statistical analysis of their mistakes and successes. The average square error used in this study was less than 1%. The results presented by K-nn classifier were higher than the one of Artificial Neural Network; nevertheless, both failed to reach above 90% success, which is considered suitable for a classifier. It can be concluded that the method used for feature extraction did not show a good performance, although it was possible to observe the trend of classification of animals through the characteristics of the muzzle, as well as the tendency of the permanence of the standards with the animal aging.

ASSUNTO(S)

animal precision biometria animal biometrics animal digital image processing processamento digital de imagens rastreabilidade traceability zootecnia de precisão

ACESSO AO ARTIGO

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