Construction of an Intelligent Face Recognition System Based on Adaptive Genetic Algorithm

Intelligent facial recognition technology is a very important research direction among various biometric recognition technologies. Intelligent facial recognition is extracting facial features through computer programming and matching identities based on the extracted features. This article studies intelligent facial recognition based on an adaptive genetic algorithm (AGA), and experiments have shown that the algorithm performs well in facial posture and expression. In the case of small samples, the recognition rate is higher, and the operation speed is faster. This chapter compares the algorithm proposed in this article with the main classical algorithms and tests the algorithm's performance and effectiveness. The simulation results show that the algorithm has good performance in intelligent face recognition. Intelligent facial recognition systems require detecting video data first, to increase the richness of system samples. Improve the credibility of the system. It can be seen that the algorithm in this article has good performance under both facial expressions and small poses, and still has a good recognition rate under significant angle rotation conditions.