Two-Stage Human Verification using HandCAPTCHA and Anti-Spoofed Finger Biometrics with Feature Selection

Asish Bera, Debotosh Bhattacharjee and Hubert P. H. Shum
Expert Systems with Applications (ESWA), 2021

 Impact Factor: 7.5 Top 25% Journal in Computer Science, Artificial Intelligence Citation: 11#

Two-Stage Human Verification using HandCAPTCHA and Anti-Spoofed Finger Biometrics with Feature Selection
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Abstract

This paper presents a human verification scheme in two independent stages to overcome the vulnerabilities of attacks and to enhance security. At the first stage, a hand image-based CAPTCHA (HandCAPTCHA) is tested to avert automated bot-attacks on the subsequent biometric stage. In the next stage, finger biometric verification of a legitimate user is performed with presentation attack detection (PAD) using the real hand images of the person who has passed a random HandCAPTCHA challenge. The electronic screen-based PAD is tested using image quality metrics. After this spoofing detection, geometric features are extracted from the four fingers (excluding the thumb) of real users. A modified forward-backward (M-FoBa) algorithm is devised to select relevant features for biometric authentication. The experiments are performed on the Bogazici University (BU) and the IIT-Delhi (IITD) hand databases using the k-nearest neighbor and random forest classifiers. The average accuracy of the correct HandCAPTCHA solution is 98.5%, and the false accept rate of a bot is 1.23%. The PAD is tested on 255 subjects of BU, and the best average error is 0%. The finger biometric identification accuracy of 98% and an equal error rate (EER) of 6.5% have been achieved for 500 subjects of the BU. For 200 subjects of the IITD, 99.5% identification accuracy, and 5.18% EER are obtained.


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Plain Text

Asish Bera, Debotosh Bhattacharjee and Hubert P. H. Shum, "Two-Stage Human Verification using HandCAPTCHA and Anti-Spoofed Finger Biometrics with Feature Selection," Expert Systems with Applications, vol. 171, pp. 114583, Elsevier, 2021.

BibTeX

@article{bera21twostage,
 author={Bera, Asish and Bhattacharjee, Debotosh and Shum, Hubert P. H.},
 journal={Expert Systems with Applications},
 series={ESWA '24},
 title={Two-Stage Human Verification using HandCAPTCHA and Anti-Spoofed Finger Biometrics with Feature Selection},
 year={2021},
 volume={171},
 pages={114583},
 numpages={18},
 doi={10.1016/j.eswa.2021.114583},
 issn={0957-4174},
 publisher={Elsevier},
}

RIS

TY  - JOUR
AU  - Bera, Asish
AU  - Bhattacharjee, Debotosh
AU  - Shum, Hubert P. H.
T2  - Expert Systems with Applications
TI  - Two-Stage Human Verification using HandCAPTCHA and Anti-Spoofed Finger Biometrics with Feature Selection
PY  - 2021
VL  - 171
SP  - 114583
EP  - 114583
DO  - 10.1016/j.eswa.2021.114583
SN  - 0957-4174
PB  - Elsevier
ER  - 


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Lining Zhang, Hubert P. H. Shum, Li Liu, Guodong Guo and Ling Shao, "Multiview Discriminative Marginal Metric Learning for Makeup Face Verification", Neurocomputing, 2019

 

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