Design of Hyperspectral Facial Automatic Recognition System Based on Artifi-cial Intelligence Technology
In order to recognize face region effectively and improve its application effect in various fields,a hyperspec-tral face automatic recognition system based on artificial intelligence technology is designed.The embedded system ar-chitecture is designed with modularity idea,and the hyperspectral face image is collected and preprocessed,and the preprocessed image data is put into RAM memory.Face detection module calls RAM memory to store data,and loads Haar face classifier to complete face region detection and extraction.After that,face recognition results are outputed by the face feature extraction and recognition module through LBP feature extraction of face region,LeNet-5 convolutional neural network face recognition model construction and training.The experimental results show that the system can complete the LeNet-5 convolutional neural network face recognition model training in a relatively short time.
NETL
NSTL
万方数据
维普
