Dairy Cow Tiny Face Recognition Based on Convolutional Neural Networks

In practical applications of cow face recognition, the accuracy is often lower than expected because of the influence of camera’s low resolution and position. In this paper, we aim to develop and pilot a method for improving recognition accuracy and recovering identity information for generating cow faces closed to the real identity. Specifically, our network architecture consists of two parts: a super-resolution network for recovering a high-resolution cow face from a low-resolution one, and a face recognition network. The super-resolution network is cascaded with the recognition network. An alternately training strategy was introduced to ensure the stability of the training process. The cow face dataset was collected by us, which contains 85200 dairy cow face images from 1000 subjects. Experimental evaluations demonstrate the superiority of the proposed method. Our method has achieved 94.92% recognition accuracy on the small size (12 × 14) cow face.

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