Al-Farg'oniy avlodlari (The descendants of Al-Fargani)
Published October 3, 2025 | Version v1
Journal article Open

DETECTION OF PRINTED FALSE ATTACKS USING NEURAL NETWORKS

Authors/Creators

  • 1. Fergana State University Docent, Department of Information Technology

Description

This article discusses a method for detecting false positives against a biometric facial recognition system based on deep convolutional neural networks. The proposed method is designed to detect printed false positives and is tested on open databases of real and fake faces, and the results are analyzed. The types of false positive attacks launched against a biometric system based on existing faces are analyzed.

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References

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