Abstract
Today, people‘s daily life is more and more dependent on face recognition technology, and the research on face recognition technology is becoming more and more thorough, making great achievements in all directions. In this paper, face recognition technology is based on a neural. The network studied by Convolution Neural Network is considered one of the best types in image classification. The model implementation is based on Python and uses a data set of 540 face images for training and testing. And the technique used in this project also yielded good results in terms of accuracy, the accuracy of these results was 100% for the 16-person dataset, 97% for the 30-person dataset, and 97% for the 2-person data set.