This article discusses the importance of automated online recognition of text information, focusing on license plate recognition systems. The benefits of such systems include automating vehicle control at restricted access areas, parking lots, service stations, and highways. The general structure of a typical license plate recognition system is illustrated in Figure 1. The article highlights the role of video cameras as image capturing devices and the restrictions associated with their installation, such as camera tilt angle and resolution. It also mentions the importance of minimum contrast for license plate images and the use of infrared illumination to enhance contrast. Preprocessing steps for the captured images are outlined, including image correction, blurring effect elimination, redundant information elimination, and car localization using a software motion detector. The article emphasizes the continuous improvement and modification of existing license plate recognition systems worldwide.
| Mualliflar | Ergashev, Otabek, Zulunov, Ravshanbek, Akhmadjonov , Ikhtiyorjon Rovshanjonovich |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2024-03-26 |
| Jild | 1 |
| Son | 1 |
| Betlar | 173-179 |
| Til | Rus |
license plate, plate recognition systems, vehicle control, restricted access areas, parking lots, service stations, minimum contrast, infrared illumination, preprocessing steps, image correction, blurring effect elimination, redundant information elimination, car localization, software motion detector
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