Novel local feature extraction for age invariant face recognition
作者：
Highlights：
• The proposed approach performs well to recognize faces under age variation.
• Descriptors are applied over facial parts to compute the discriminative feature.
• Descriptor considers all the pixels of local region to improve the accuracy.
• Histogram based descriptors handle pose, illumination, expression and age variation.
• This approach is robust to handle age variation under unconstrained environment.
摘要
•The proposed approach performs well to recognize faces under age variation.•Descriptors are applied over facial parts to compute the discriminative feature.•Descriptor considers all the pixels of local region to improve the accuracy.•Histogram based descriptors handle pose, illumination, expression and age variation.•This approach is robust to handle age variation under unconstrained environment.
论文关键词：Age invariant,Face recognition,Local difference pattern,Local dual directional relation pattern
论文评审过程：Received 16 December 2019, Revised 12 January 2021, Accepted 22 February 2021, Available online 4 March 2021, Version of Record 16 March 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.114786
