License plate detection and recognition method based on multi-video frame information and nuclear phase light filtering algorithm

A technology of license plate detection and frame information, applied in the field of intelligent transportation systems, can solve problems such as bad weather, poor robustness of the method, complex background, etc., to improve accuracy, improve accuracy and robustness, and be robust sticky effect

Pending Publication Date: 2020-07-03
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

However, these methods are not ideal in terms of real-time performance and are not very practical.
[0005] In practical applications, the existing methods exist: insufficient utilization of inter-frame context information in driving videos;

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  • License plate detection and recognition method based on multi-video frame information and nuclear phase light filtering algorithm

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Embodiment Construction

[0017] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, and the present invention includes but not limited to the following embodiments.

[0018] Such as figure 1 As shown, the present invention provides a license plate detection and recognition method based on multi-video frame information and nuclear phase optical filtering algorithm. Its basic implementation process is as follows:

[0019] 1. Select and build a pre-training data set

[0020] In order to be applicable to a variety of scenarios, it is necessary to select a suitable sample of diverse license plate location and license plate recognition data sets. The present invention adopts the license plate data set CCPD of mainland China, and CCPD is described in the document "Zhenbo Xu, Ajin Meng, Nanxue Lu." Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline: 15th European Conference, Munich, Germany, Proceeded in ...

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Abstract

The invention provides a license plate detection and recognition method based on multi-video frame information and a nuclear phase light filtering algorithm. Different deep learning models are respectively constructed to carry out license plate area detection and license plate information identification of a single-frame image, and multi-frame information tracking fusion is carried out by using akernel-based correlation filtering algorithm, so that the accuracy of license plate identification and positioning can be improved, the calculation efficiency is relatively high, and the method can beused for real-time processing.

Description

technical field [0001] The invention belongs to the field of intelligent traffic systems, and in particular relates to a license plate detection and recognition method based on multi-video frame information and a nuclear phase optical filter algorithm. Background technique [0002] In recent years, with the rapid development of social economy, Intelligent Transportation System (Intelligence Transport System, ITS) has gradually become a popular research topic in the field of transportation control and management in the world. The car license plate is used as the "identity card" of the vehicle, similar to human fingerprints, which can be used to uniquely determine the identity of the vehicle. The License Plate Recognition (LPR) system is an important link in the vehicle detection system. The process of this system is as follows: First, the license plate detection technology is used to obtain the position of the license plate in the picture, and then the license plate number is...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/40G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/62G06V10/30G06V20/625G06N3/047G06N3/044G06N3/045G06F18/2415G06F18/241
Inventor 王琦袁媛芦肖城
Owner NORTHWESTERN POLYTECHNICAL UNIV
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