Computer Science
Chunming Wu, Ying Zhang
tlooto Summary
The experimental results verify that the improved FaceNet can meet the requirements of real-time recognition, and the recognition accuracy reaches 99.85%, which meets the actual demand.
Abstract
Abstract is not available.
Citation format
WU, Chunming; ZHANG, Ying. MTCNN and FACENET based access control system for face detection and recognition. AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2021, 55: 102–112.