Nowadays, the concept of human and nature is deeply rooted in people's hearts, and the chances of contact between animals and humans are greatly increased. Therefore, the identification of animals has become a difficult problem. Research on animal recognition knowledge system is an important method to solve this problem. With the help of computer language, the animal recognition knowledge system can be implemented in many fields to solve many animal-related problems. Therefore, it is very necessary to actively carry out the realization of knowledge system based on animal recognition under language education. The purpose of this article is to discuss the realization of animal recognition knowledge system under language education, establish animal recognition knowledge system under C language education, perform texture comparison, feature capture, and accuracy analysis to evaluate the effectiveness of animal recognition knowledge system. The results of the study show that there are 431 pictures in the bird dataset and 404 pictures successfully recognized by the system, with a recognition rate of 94.61%; 277 pictures in the dog dataset, and 251 pictures successfully recognized by the system. The rate reached 90.6%, 189 cattle dataset images, 147 pictures successfully recognized by the system, and the recognition rate reached 79.03%; 187 tiger dataset images, 178 pictures successfully recognized by the system, the recognition rate reached 97.6%. It can be seen that the recognition system proposed in this paper is feasible, and the realization of animal recognition knowledge system under language education is of great significance.

Dongmei Zhang. Realization of Animal Recognition Knowledge System under Language Education. International Journal of Educational Innovation and Science (2020), Vol. 1, Issue 3: 74-85. https://doi.org/10.38007/IJEIS.2020.010306.

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