《Table 2 Recognition accuracy w ith different sizes of convolution kernel》

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《Individual Dairy Cattle Recognition Based on Deep Convolutional Neural Network》

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To verify the effect of convolution kernel size tow ards recognition results，several different convolution kernel sizes are chosen for experiments referring to Le Net-5 model.When the convolution kernel takes 5×5，7×7，9×9，and 11×11 in turn，the results are show n in Table 2.When the size of convolution kernel is 5×5，the recognition accuracy is relatively low er.It is because the convolution kernel is too small and can’t cover effective feature extraction for dairy cattle individual.With increasing of the size of convolution kernel，the recognition accuracy show s a trend of rising and the kernel of 9×9 makes the recognition get a peak.Continuing to increase the size to 11×11，the recognition accuracy declines.The main reason is that the convolution kernel size is too big and some local features are lost.