<i>Cat face recognition using deep learning</i>

• DOI: 10.13031/aim.201800316
• Publication Date: 2018-07-30T10:03:21Z
• Authors: Tzu-Yuan Lin; Yan-Fu Kuo
• Keywords: Electronic Nose; Eigenface; Identification

<b><sc>Abstract.</sc></b> <b>In Taiwan, there are more than 3 thousand cats and dogs missing every year. Losing pets could be extremely painful for owners. It also places burden on animal shelters in trying to return the Although implanting microchips has always been a way solve pet problem, it may cause health problems (e.g., inflammatory reaction cancer) animals. Hence, noninvasive approach identifying is needed. This work proposed identify noninvasively using face recognition. A database that contains 1500 images of 150 different was developed. Facial parts eyes, nose, mouth) were identified convolutional neural networks. The features facial eigenface) then qualified used with support vector machines (SVMs). method achieves an identification accuracy 94.1%.</b>