Collaborative representation of blur invariant deep sparse features for periocular recognition from smartphones

作者：

Highlights：

• A new feature extraction scheme for periocular verification from smartphone data.

• A new dataset of periocular images captured in 3 smartphones (publicly available).

• Experimental evaluation and benchmarking with SOTA and deep learning approaches.

• Measured quality metrics on newly introduced dataset.

摘要

•A new feature extraction scheme for periocular verification from smartphone data.•A new dataset of periocular images captured in 3 smartphones (publicly available).•Experimental evaluation and benchmarking with SOTA and deep learning approaches.•Measured quality metrics on newly introduced dataset.

论文关键词：Periocular recognition,Visible Spectrum,Smartphone,Biometrics,Deep sparse filtering

论文评审过程：Received 31 January 2020, Revised 25 May 2020, Accepted 8 July 2020, Available online 21 July 2020, Version of Record 31 July 2020.

论文官网地址：https://doi.org/10.1016/j.imavis.2020.103979