FACE PATTERN RECOGNITION USING MULTI-TASK CASCADED CONVOLUTIONAL NEURAL NETWORKS

  • Vu Thi Them Gia Loc Vocational Education Continuing Education Center
  • Nguyen Quang Hoan Hung Yen University of Technology and Education
  • Nguyen Thi Hong Posts and Telecommunications Institute of Technology
Keywords: Integrated neural network connected concurrently multitasking, neural network integrated with convolution, face pattern recognition

Abstract

The article provides 2 steps of identifying a human face including taking out the faces in the image; extracting the features of that face and from the information obtained after analyzing, and verifying the identity of the person.  The first step is based on the model of Multi-Task Cascaded Convolutional Networks (MTCNN) and the second step is based on the Convolutional Neural Network (CNN). The method of detecting faces by MTCNN due to the results after identification with high accuracy even if faces are obscured.

Published
2020-05-12
How to Cite
Vu Thi Them, Nguyen Quang Hoan, & Nguyen Thi Hong. (2020). FACE PATTERN RECOGNITION USING MULTI-TASK CASCADED CONVOLUTIONAL NEURAL NETWORKS. UTEHY Journal of Science and Technology, 24, 72-76. Retrieved from http://tapchi.utehy.edu.vn/index.php/jst/article/view/327