关键词: 个体身份, 非接触, 生物特征, 牛脸识别, 深度学习

Abstract: Quick and accurate recognition of individual cattle is of great significance for disease prevention and control, genetic improvement of varieties, traceability of dairy products and meat products, and improvement of agricultural false insurance claims. Traditional cattle identification methods such as   hot iron branding, ear tattooing, ear tagging and radio frequency identification, are subject to equipment loss, duplication, fraud, animal welfare security, monitoring cost and distance challenges. Instead, based on biometrics, non-contact identification is a new trend in cattle identification due to its uniqueness, invariance, low cost, easy operation and high animal welfare. This paper reviewed several research progress based on non-contact cattle identification, mainly focused on the latest achievements of cattle face recognition, and discussed current challenges faced in the practical application of cattle face recognition. The design and future prospects of the application of deep learning in cattle recognition were proposed in this paper.

Key words: individual identification, non-contact, biometrics, face recognition, deep learning