The study is devoted for statistical methods of threshold values selection for decision making in the case of iris identification, and the problem of determining threshold values according to Hamming distance based on Bayesian, Neumann-Pearson and minimax criteria is studied in the article. Depending on the situation, the use of these criteria in the iris recognition systems is recommended.
| Mualliflar | Юсупов, О.Р., Нуриддинов, Т.Х., Ярашбаев , Н.А. |
|---|---|
| Jurnal | Рақамли технологияларнинг назарий ва амалий масалалари |
| Nashr sanasi | 2023-06-27 |
| Jild | 4 |
| Son | 2 |
| Betlar | 27-33 |
| Til | Ingliz |
biometric technology, iris, identification, Hamming distance, Bayesian criteria, Neumann-Pearson criteria, Minimax criteria, биометрическая технология, радужка, идентификация, расстояние Хэмминга, байесовский критерий, критерий Неймана-Пирсона, минимаксный критерий
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