EEG-based person identification through Binary Flower Pollination Algorithm

作者：

Highlights：

• A binary-constrained version of the Flower Pollination Algorithm has been proposed.

• Sensor selection in EEG signals by means of optimization techniques.

• To evaluate the proposed approach in the context of biometrics.

摘要

•A binary-constrained version of the Flower Pollination Algorithm has been proposed.•Sensor selection in EEG signals by means of optimization techniques.•To evaluate the proposed approach in the context of biometrics.

论文关键词：Meta-heuristic,Pattern classification,Biometrics,Electroencephalogram,Optimum-path forest

论文评审过程：Received 21 August 2015, Revised 3 June 2016, Accepted 4 June 2016, Available online 14 June 2016, Version of Record 20 June 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.06.006