This article proposes algorithms to increase the efficiency of character separation in an image in terms of identification based on the image of the cochlea. The images given in the first step of these algorithms are filtered using a Gabor filter. In the second stage, the characteristic characters are extracted from the images of the cochlea using the geometric character separation method. The developed algorithms can be used in the organization of software packages of different types, aimed at solving the problem of classification of objects given in the form of images.
| Mualliflar | Жумаев, Турдали, Mahkamov, Anvarjon |
|---|---|
| Jurnal | Ислом тафаккури – Исламская мысль – Islamic thought – |
| Nashr sanasi | 2026-08-01 |
| Jild | 3 |
| Son | 4 |
| Betlar | 149-153 |
| Til | O‘zbek |
biometrics, digital image, image processing, recognition, ear image, feature extraction, Gabor filter., биометрия, цифровые изображения, обработка изображений, распознавание, фильтр Габора., биометрия, рақамли тасвир, таниб олиш, қулоқ чаноғи тасвири, белгиларни ажратиш, фильтр, Габор фильтри, Гаусс функцияси, геометрик белгиларни ажратиш усули.
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