License plate recognition method and license plate recognition device

Abstract

This application discloses a license plate recognition method and license plate recognition equipment. According to the original license plate classifier to detect the car-free scene on the scene, collect the static negative samples of the scene; add the static negative samples to the original training set of the license plate recognition equipment, and obtain the first Training set, train the first license plate classifier according to the first training set; detect the on-site car scene according to the first license plate classifier, collect the dynamic negative samples of the scene, add the dynamic negative samples to the first training set, and obtain the second training set set, train a second license plate classifier according to the second training set, and perform license plate recognition according to the second license plate classifier. In this way, the second license plate classifier trained with the second training set can remove static negative samples and dynamic negative samples. At this time, most of the negative samples that may appear on the scene can be rejected by the second license plate classifier, thereby achieving the recognition of the license plate. Accurate recognition, reducing the false detection rate of license plate recognition equipment.

Description

Technical field [0001] This application relates to the field of image recognition technology, and in particular to a license plate recognition method and license plate recognition equipment. Background technique [0002] In order to ensure good traffic order or social security, products such as license plate recognition equipment based on license plate recognition technology are widely used in intersections, property communities, commercial buildings and government agencies. License plate recognition technology is generally divided into three steps: license plate detection, character segmentation recognition and license plate voting. License plate detection, that is, to detect the license plate from the video and determine its position in each frame of image, is a key and time-consuming step in the license plate recognition technology. [0003] Currently, license plate recognition equipment is usually trained in a laboratory. Under normal circumstances, there is only one license ...

AI Technical Summary

Problems solved by technology

Dynamic false detection refers to moving objects, such as car engine vents, advertisements on the car body, etc. These objects occasionally appear, and because they are more similar to license plates, they will also cause certain false detections. If the license plate recognition equipment is used in express companies At entrances and exits, bus company parking lots and other places, because a large number of vehicles have advertisements and phone numbers, etc., it is easy to have a large number of false detections, resulting in errors in license plate recognition

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