A license plate character recognition method based on self-adaptive position segmentation

Abstract

The invention discloses a license plate character recognition method based on adaptive position segmentation, and belongs to the technical field of license plate recognition, and the method comprisesthe steps: building a deep neural network model which comprises a basic network, a license plate position correction network, a license plate character segmentation network and a license plate character recognition network; collecting license plate sample images are collecte, training the constructed deep neural network model, and obtaining an adaptive character segmentation recognition module; and carrying out license plate character recognition on the to-be-recognized license plate image by using an adaptive character segmentation recognition module. According to the method, the steps of license plate position correction, license plate character segmentation, license plate character recognition and the like are not strictly distinguished, license plate position correction, license platecharacter segmentation and character recognition are directly completed with the help of a deep neural network structure model, and license plate recognition accuracy and recognition speed are both considered.

Description

technical field [0001] The invention relates to the technical field of license plate recognition, in particular to a license plate character recognition method based on adaptive position segmentation. Background technique [0002] License plate recognition is the core technology of intelligent transportation, which includes two parts: license plate position detection and license plate character recognition. Among them, the license plate character recognition is the most important part of the whole technology, the quality of the license plate character recognition engine directly determines the overall performance of the license plate recognition technology. [0003] License plate character recognition refers to the accurate identification of all Chinese characters, characters and numbers on the license plate in an image of a known license plate position, which specifically includes the following technical steps: license plate position correction, license plate character segm...

AI Technical Summary

Problems solved by technology

[0016] In recent years, deep learning technology has been widely concerned and applied in various fields because it can simulate the neural network of the human brain and perform accurate nonlinear prediction. However, the disadvantage of this technology is that the model consumes a lot of memory and the amount of calculation is very large Large, so it consumes a lot of memory and computing power

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