This article presents information on how to achieve high accuracy in biometric recognition systems based on image preprocessing, and also develops an algorithm for geometric normalization of face images. This algorithm allows you to rotate a given image by an arbitrary angle when it does not meet the requirements of biometric recognition systems or when the angle of rotation of the face image is large. Based on this, the accuracy of correct recognition increases.
| Mualliflar | Абдукодиров, Абдувахит, Abdukadirov, Baxtiyor |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2024-12-26 |
| Son | 4 |
| Betlar | 397-401 |
| Til | Rus |
бинарное изображение, изображение в оттенках серого, признаки Хаара, локальные бинарные шаблоны, binary image, grayscale image, Haar features, local binary patterns, binar tasvir, kulrang tasvir, Haar belgilari, lokal binar shablonlar
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