Method for Recognzing Face from Monitoring Video Data

A method for recognizing a face from monitoring video data is disclosed. Two neural networks are used to compare and score high-dimensional face features of a face, and a K-neighbor algorithm and a screening mechanism with a Euclidean distance as a threshold are combined for face comparison recognition to obtain an accurate face recognition result. In addition, the present disclosure also performs further screening based on the time of video data and the frequency of face appearance, and finally obtains a recognition result, thereby obtaining a more accurate face recognition result. The present disclosure can perform relatively accurate face recognition on video data or picture data captured by a real-time or historical monitoring camera.