Bald eagle search optimization with deep transfer learning enabled age-invariant face recognition model

作者：

Highlights：

• Develop a deep learning based Age-Invariant Face Recognition model.

• Employ Inception v3 feature extractor with DBN classification model.

• Present bald eagle search optimization based hyperparameter tuning process.

• Validate the performance of BESDTL-AIFR model on UTKFace and CACD dataset.

摘要

•Develop a deep learning based Age-Invariant Face Recognition model.•Employ Inception v3 feature extractor with DBN classification model.•Present bald eagle search optimization based hyperparameter tuning process.•Validate the performance of BESDTL-AIFR model on UTKFace and CACD dataset.

论文关键词：Age invariant face recognition,Facial image analysis,Age progression,Deep transfer learning,Hyperparameter tuning

论文评审过程：Received 12 March 2022, Revised 21 July 2022, Accepted 20 August 2022, Available online 29 August 2022, Version of Record 11 September 2022.

论文官网地址：https://doi.org/10.1016/j.imavis.2022.104545