Image Quality Assessment for Fake Biometric Detection

P. J. Suresh Babu, K. Eswaramoorthy, K. Sasikala, P. Muthukumar, S. Sivamani, T. Suresh Padmanabhan

2025

Abstract

Detecting fake biometrics is crucial for ensuring the security and reliability of biometric authentication systems. A recent paper proposes a method that extracts features from pre-processed images of the face and fingerprint and compares them with those of a database image to obtain matching scores. The matching scores then undergo a three-step process that includes normalization, generation of similarity scores, and fusion of weighted scores. This ensures that the scores are on the same scale and comparable, allowing the system to take advantage of the strengths of both biometric traits to increase accuracy and reduce false matches. The weights for the scores obtained from the face and fingerprint traits are determined based on their individual performance, and used to calculate a final score. The fusion of the face and fingerprint traits using a weighted sum of scores technique has the potential to enhance the security of biometric authentication systems. The proposed method ensures the correctness and dependability of the system by detecting fake biometrics and preventing unauthorized access to sensitive information. Overall, this paper proposes an effective method to improve the accuracy and reliability of biometric authentication systems by combining the strengths of two biometric traits.

Paper Citation

in Harvard Style

Babu P., Eswaramoorthy K., Sasikala K., Muthukumar P., Sivamani S. and Padmanabhan T. (2025). Image Quality Assessment for Fake Biometric Detection. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 267-273. DOI: 10.5220/0013896500004919

in Bibtex Style

@conference{icrdicct`2525,
author={P. Babu and K. Eswaramoorthy and K. Sasikala and P. Muthukumar and S. Sivamani and T. Padmanabhan},
title={Image Quality Assessment for Fake Biometric Detection},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={267-273},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013896500004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Image Quality Assessment for Fake Biometric Detection
SN - 978-989-758-777-1
AU - Babu P.
AU - Eswaramoorthy K.
AU - Sasikala K.
AU - Muthukumar P.
AU - Sivamani S.
AU - Padmanabhan T.
PY - 2025
SP - 267
EP - 273
DO - 10.5220/0013896500004919
PB - SciTePress