Spoof detection for fake biometric images using feature-based techniques

Syed Muhammad Saad; Abdullah Bilal; Sara Tehsin; Saad Rehman

doi:10.1117/12.2576873

8 November 2020 Spoof detection for fake biometric images using feature-based techniques

Syed Muhammad Saad, Abdullah Bilal, Sara Tehsin, Saad Rehman

Proceedings Volume 11525, SPIE Future Sensing Technologies; 115251N (2020) https://doi.org/10.1117/12.2576873
Event: SPIE Future Sensing Technologies, 2020, Online Only

Abstract

Ensuring the actual presence of a genuine legitimate trait as opposed to a fake self-manufactured synthetic is a major problem in bio-metric authentication. The proposed system's objective is to improve the reliability of bio metric recognition systems through the use of image quality evaluation. The proposed technique uses general image quality features derived from a single image to distinguish between legitimate and impostor samples, making it optimal for applications with a very low degree of complexity. In the proposed method, we are using publicly available ATVSFir_ DB dataset of iris which makes it highly competitive. We have also tested the algorithm on self-generated dataset for authenticity and rigorous testing purposes. The results acquired from the experimental phase were satisfying and authentic. The proposed method is able to achieve an averaged accuracy of 99.1% for the ATVS-Fir_DB dataset and 99.9% for the self-generated dataset.

Conference Presentation

Citation Download Citation

Syed Muhammad Saad, Abdullah Bilal, Sara Tehsin, and Saad Rehman "Spoof detection for fake biometric images using feature-based techniques", Proc. SPIE 11525, SPIE Future Sensing Technologies, 115251N (8 November 2020); https://doi.org/10.1117/12.2576873

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