Intelligent deep learning based ethnicity recognition and classification using facial images
作者：
Highlights：
• The IDL-ERCFI technique's purpose is to distinguish and classify ethnicity based on facial photos.
• The IDL-ERCFI technique uses face landmarks to align photos before sending them to the network.
• The feature retrieval, the feature reduction procedure employs the principal component analysis (PCA) model.
• The ethnicity classification procedure is carried out using KELM, with a parameter tuning process.
• KELM model carried out experimental analysis with the glow worm swarm optimization (GSO) technique.
摘要
•The IDL-ERCFI technique's purpose is to distinguish and classify ethnicity based on facial photos.•The IDL-ERCFI technique uses face landmarks to align photos before sending them to the network.•The feature retrieval, the feature reduction procedure employs the principal component analysis (PCA) model.•The ethnicity classification procedure is carried out using KELM, with a parameter tuning process.•KELM model carried out experimental analysis with the glow worm swarm optimization (GSO) technique.
论文关键词：Ethnicity recognition,Facial analysis,Deep learning,Facial landmarks,Image classification,Parameter tuning
论文评审过程：Received 16 August 2021, Revised 17 January 2022, Accepted 10 February 2022, Available online 15 February 2022, Version of Record 9 March 2022.
论文官网地址：https://doi.org/10.1016/j.imavis.2022.104404
