License Plate Recognition (LPR): Technology, Algorithms, and Implementation Approaches

In modern society, traffic management and surveillance have become increasingly critical. The rapid growth in vehicle numbers has led to traffic congestion and safety concerns. To address these challenges, many cities and regions have adopted License Plate Recognition (LPR) technology. This system automatically identifies vehicle license plate numbers through computer vision and machine learning algorithms, typically involving steps such as image preprocessing, plate localization, character segmentation, and optical character recognition (OCR). Key functions may include edge detection algorithms for plate localization and convolutional neural networks (CNN) for character classification. By enabling real-time monitoring of traffic conditions, LPR assists transportation authorities in optimizing traffic flow and enforcement. Additionally, the technology finds applications in security domains, such as locating stolen vehicles or suspects through database matching algorithms. Thus, LPR technology not only helps mitigate urban traffic issues but also enhances public safety and security measures through automated, data-driven solutions.