Research on Face Recognition Technology Based on Deep Learning

The traditional face recognition technology requires a lot of computation time for human face feature extraction, and the recognition accuracy is limited by the extracted face features. Aiming at the above problems, this paper studies face recognition technology based on deep learning. For the image to be recognized, the HOG feature is used to detect the face target in the image. In order to avoid the influence of facial expression and posture, face alignment processing is performed. After extracting the face recognition features in the image, the neural network is used to realize face recognition. Through comparison experiments with traditional face recognition technology, it is verified that the recognition technology using deep learning improves the recognition efficiency by about 1.5 times and has better recognition adaptability.