Cat face recognition using Siamese network

Haohuan Li; Wenqing Zhang

doi:10.1117/12.2659645

30 November 2022 Cat face recognition using Siamese network

Haohuan Li, Wenqing Zhang

Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 124562U (2022) https://doi.org/10.1117/12.2659645
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China

Abstract

As a challenging problem in the field of image analysis and computer vision, face recognition has garnered a lot of attention in recent years due to its many applications across a wide range of areas. In recent years, face recognition technology has been focused on humans, but considering the expansion and improvements of the cat industry, face recognition of cats should also receive some attention. This paper proposes a face recognition system for cats using Siamese and VGG16. We will send two images of cat faces to the Siamese network, which will be converted to a vector by mapping their features to the space and then get their probability of similarity by calculating their losses. Our training model on 13,106 cat images from a dataset of 509 different cats shows that our method can recognize cats’ faces with an accuracy of 72.91% on a test dataset with 1702 image pairs containing 851 pairs labelled true, and 851 pairs labelled false. Experiments have demonstrated that this method is convenient and contactless and has a high recognition rate.

Citation Download Citation

Haohuan Li and Wenqing Zhang "Cat face recognition using Siamese network", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 124562U (30 November 2022); https://doi.org/10.1117/12.2659645

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KEYWORDS

Facial recognition systems

Convolution

Neural networks

Feature extraction

Positron emission tomography

Data modeling

Detection and tracking algorithms

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