International Journal of Engineering Technology and Management Sciences

2023, Volume 7 Issue 5

Face Gender Classification by Using Improve Binary Particle Swarm Optimization and K-Nearest Neighbors

AUTHOR(S)

Minh Ly Duc, Dong Phan Tan

DOI: https://doi.org/10.46647/ijetms.2023.v07i05.031

ABSTRACT
This paper studies the application of the Binary particle swarm optimization (BPSO) algorithm to the optimal search for facial features and gender classification by K-Nearest Neighbors (K-NN) model. The results show that the accuracy and processing time of the model is much better than that of VGG16, VGG19, Resnet50, Senet50, Face Net, Open Face and FbDeep Face models. a large-scale GenderFace80K dataset with 80,000 facial images with gender annotation used in the research model.

Page No: 269 - 277

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    16. How to Cite This Article:
    Minh Ly Duc, Dong Phan Tan . Face Gender Classification by Using Improve Binary Particle Swarm Optimization and K-Nearest Neighbors . ijetms;7(5):269-277. DOI: 10.46647/ijetms.2023.v07i05.031

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