The Automatic Recommen-dation and Color Testing Method for Lip Gloss Based on Image Recognition

Make-up has gradually become indispensable to modern people, especially women in the daily life, and lip gloss is a very important part of makeup. Designing personalized lip gloss recommendations for users can enhance the consumer experience. This paper designs an automatic recommendation and color test method for lip gloss based on skin color image color temperature recognition. In the algorithm design, facial skin color recognition is performed based on the convolutional neural network, then the Haar-like classifier is used to extract and segment lips, the region of interest of face, then the mouth is colored according to the skin color judgment result. Aiming at the method of automatic recommendation and color testing of lip gloss, an experiment was designed to compare the results of the subject and the computer recognition to verify the feasibility of the algorithm in this paper.