This article analyzes the method of hacking biometric recognition systems through print attacks, and also proposes an algorithm for detecting fake facial images based on the analysis of color textures. For this purpose, in addition to the RGB color model, two other color models were used to study color texture information. CASIA and Replay-Attack databases were used for experimental research
| Mualliflar | Абдукадиров, Бахтиёр, Абдукадирова , Гулбахор |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2025-03-23 |
| Son | 1 |
| Betlar | 137-142 |
| Til | Rus |
ложная атака, печатная атака, локальный бинарный шаблон, метод опорных векторов, степень ошибки, цветовые модели RGB, HSV, YCbCr, false attack, printed attack, local binary pattern, support vector machine, error rate, RGB, HSV, YCbCr color models, soxta hujum, chop etilgan hujum, lokal binar shablon, tayanch vektorlar usuli, xatolik darajasi, RGB, HSV, YCbCr rang modellari
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