Vehicle license plate recognition method and vehicle license plate recognition equipment

Abstract

The application discloses a vehicle license plate recognition method and vehicle license plate recognition equipment. The vehicle license plate recognition method comprises the following steps: detecting a non-vehicle scene in the field according to an original vehicle license plate classifier, and collecting static negative samples of the field; adding the static negative samples into an original training set of the vehicle license plate recognition equipment to obtain a first training set, and training a first vehicle license plate classifier according to the first training set; and detecting a vehicle scene in the field according to the first vehicle license plate classifier, collecting dynamic negative samples of the field, adding the dynamic negative samples into the first training set to obtain a second training set, training a second vehicle license plate classifier according to the second training set, and performing vehicle license plate recognition according to the second vehicle license plate classifier. Therefore, the static negative samples and the dynamic negative samples can be removed by using the second vehicle license plate classifier trained by the second training set, and then most of the negative samples which possibly occur to the field can be refused by the second vehicle license plate classifier, so that accurate recognition of vehicle license plates can be achieved, and the false detection rate of the vehicle license plate recognition equipment can be reduced.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular to a license plate recognition method and a license plate recognition device. 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 and recognition, and license plate voting. License plate detection, that is, detecting the license plate from the video and determining its position in each frame of the image, is a critical and time-consuming step in license plate recognition technology. [0003] At present, license plate recognition equipment is usually trained in the laboratory. Usually, there is only one lice...

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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