Using Inception-Resnet V2 for Face-based Age Recognition in Scenic Spots
Xi Wan, Fuji Ren, Yong Deng · 2019
In recent years, face recognition technology has been applied in many famous scenic spots. However, it is still difficult to use this technology to simplify the process of buying tickets, especially when many fake ID cards are illegally used for buying tickets that do not conform to real age groups. In this paper, we propose to incorporate the face-based age recognition technology to ticket inspection to solve this kind of problem, which could also greatly improve the efficiency of ticket checking. In this paper, we try to fine tuning the Inception ResnetV2 model, by replacing the original simple convolutional neural network for the facial feature extraction and recognition. The experiment results suggest that the accuracy of age recognition has been significantly improved.