Year: 2021
Type: conference-paper
Abstract: The main features of face recognition are easy to use, quick to update, high flexibility, high accuracy, high environmental adaptability and so on. This passage of facial recognition technology based on convolutional neural network, which combines the present popular Python and Opencv Keras to identify development system, will make face recognition more efficient and more intelligent. And convolutional neural network based on face recognition data can improve accuracy and reduce the error rate through training. This experiment makes efforts to perfect the training model and enhance the influence of face recognition, so it could be more influential and smarter in higher precision applicable areas.
Authors: Yu Ma, HuaJun Wang, Jun Wan, ZhenHeng Wang, Yao Yang, Cong Huang
Institution: Chengdu University of Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W3203347567