I-SOCIAL-DB: A labeled database of images collected from websites and social media for Iris recognition

作者：

Highlights：

• I-SOCIAL-DB is a novel public labeled dataset of ocular images.

• I-SOCIAL-DB includes iris segmentation pixel-wise masks created by a human expert.

• This paper offers an analysis of the samples based on statistical figures of merit.

• This paper presents benchmark results achieved by using public software libraries.

• I-SOCIAL-DB represents a new tool for the biometric research community.

摘要

•I-SOCIAL-DB is a novel public labeled dataset of ocular images.•I-SOCIAL-DB includes iris segmentation pixel-wise masks created by a human expert.•This paper offers an analysis of the samples based on statistical figures of merit.•This paper presents benchmark results achieved by using public software libraries.•I-SOCIAL-DB represents a new tool for the biometric research community.

论文关键词：Biometrics,Iris,Web images

论文评审过程：Received 31 January 2020, Revised 2 October 2020, Accepted 26 October 2020, Available online 3 November 2020, Version of Record 12 January 2021.

论文官网地址：https://doi.org/10.1016/j.imavis.2020.104058