Regional Face Recognition Algorithm Based on Ahash and Face Anti-Spoofing Detection

With the rapid development of artificial intelligence technology, facial recognition algorithms have been used in many fields. However, current algorithms still face challenges, including accuracy, real-time performance, etc. This article presents a regional face recognition algorithm to improve the accuracy of facial recognition. The method first compares the information of different users with existing data in the database. It categorizes users into different regions and assigns specific actions for users in those regions. Comparing the accuracy of this method with other facial recognition approaches shows its effectiveness in enhancing accuracy. This also provides new insights for the future development of facial recognition technology.