Two-stage human verification using HandCAPTCHA and anti-spoofed finger biometrics with feature selection

作者：

Highlights：

• Design a Completely Automated Public Turing Test to Tell Computers & Humans Apart.

• Human verification is proposed to thwart the probability of attacks.

• Spoofing attack detection using image quality assessment is addressed.

• Finger geometry and a feature selection algorithm is proposed.

• Enhanced security and accuracies are achieved.

摘要

•Design a Completely Automated Public Turing Test to Tell Computers & Humans Apart.•Human verification is proposed to thwart the probability of attacks.•Spoofing attack detection using image quality assessment is addressed.•Finger geometry and a feature selection algorithm is proposed.•Enhanced security and accuracies are achieved.

论文关键词：Attack,Feature Selection,Finger Geometry,HandCAPTCHA,Image Quality,Spoofing,Verification

论文评审过程：Received 17 May 2020, Revised 25 October 2020, Accepted 5 January 2021, Available online 9 January 2021, Version of Record 20 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114583