Face and Gender Detection Based on BP Neural Network Algorithm

Authors

  • Ji Zhang
  • Zijian Ran

DOI:

https://doi.org/10.54097/fcis.v1i1.985

Keywords:

Face detection, Gender detection, OpenCV, BP neural network, Python

Abstract

Face recognition technology has a wide range of applications in real life, and many applications can be developed on the basis of face recognition, such as gender recognition, age recognition, face comparison, and beauty image decoration. In this paper, based on the computer vision library OpenCV in the python language, the face is recognized, and the mature BP neural network algorithm is used to learn the photos in the database, and finally the gender detection of the face is successfully realized.

Downloads

Download data is not yet available.

References

Hu X . Research for Face Recognition Based on Gabor Wavelet and Sparse Representation. IEEE Computer Society, 2014.

Liu X M ,Yue L H ,Chen B, et al. Method of target recognition in remote sensing images based on parallel processing[J]. Journal of Computer Applications,2007,27(9):2123-2125.

Feng X.Edge detection algorithm based on BP neural networks in digital image[J]. Journal of Xi'an University of Science & Technology, 2005.

Tan T,Li J ,Wang K , et al.Target Threat Assessment Using Particle Swarm Optimization and BP Neural Network[C]// the 2019 3rd High Performance Computing and Cluster Technologies Conference. 2019.

Antennas Propagat.,to be published.A Strategy for Making Lane-change Decision Based on Improved Driving Risk Field and BP Neural Network

Li J ,Qin D.The mutation seagull algorithm optimizes the speech emotion recognition of BP neural network[C]// ICCBN 2021: 2021 9th International Conference on Communications and Broadband Networking. 2021.

Downloads

Published

22-07-2022

Issue

Section

Articles