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Cat Face Recognition Based on MFCC and GMM

Biometrics are inherent in biology, and they are also widely used in human identity recognition because they are stable and not easy to forge. As the pet economy picks up, the pet industry continues to expand and improve, and the pet market shows a humanization trend. In the future, pet identification technology can be widely used in urban pet management, pet medical insurance, pet competitions and other public welfare scenarios. In this paper, based on Mel-Frequency Cepstrum Coefficients (MFCC) and GMM to design the cat face recognition system. Experiments show that this method is convenient and contactless, and has a high recognition rate.