License plate recognition system and method based on particle swarm optimization neural network

A particle swarm algorithm and license plate recognition technology, applied in the license plate recognition system based on the particle swarm optimization neural network, the field of license plate recognition system, can solve the problems of low license plate recognition rate, low learning efficiency of BP algorithm, and inability to optimize the hidden layer of neural network The number of nodes and other issues

Active Publication Date: 2018-11-13
LANZHOU INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the low learning efficiency of the BP algorithm and the inability to optimize the number of hidden layer nodes of the neural network, the license plate recognition rate is not high, etc.

Method used

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  • License plate recognition system and method based on particle swarm optimization neural network
  • License plate recognition system and method based on particle swarm optimization neural network
  • License plate recognition system and method based on particle swarm optimization neural network

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Embodiment 1

[0091] The invention discloses a license plate recognition system based on a particle swarm optimization neural network. The license plate recognition system includes: a license plate positioning module, a character recognition preprocessing module, and a license plate recognition module. Each module is described in detail below.

[0092] 【License plate positioning module】

[0093] The license plate positioning module includes: a license plate character preliminary positioning unit, a real license plate acquisition unit, a license plate rivet removal unit, and a character axis determination unit.

[0094] The license plate character preliminary positioning unit is used to initially locate the license plate character;

[0095] First, grayscale the acquired image, as shown in the following formula:

[0096] Y=0.299*R+0.587*G+0.114*B

[0097] R, G, and B are the three-color classifications of red, green, and blue of the image, respectively.

[0098] The processing of license ...

Embodiment 2

[0240] A kind of license plate recognition method based on particle swarm optimization neural network, described method comprises the steps:

[0241] Step S1, the license plate positioning step; specifically includes:

[0242] Step S11, the preliminary positioning step of the license plate characters, preliminary positioning of the license plate characters;

[0243] First, grayscale the acquired image, as shown in the following formula:

[0244] Y=0.299*R+0.587*G+0.114*B

[0245] R, G, and B are the three-color classifications of red, green, and blue of the image, respectively.

[0246]The processing of license plates involves four colors of red, white, yellow, and blue. Since most license plates are white with blue background, this paper uses the base layer of license plates with blue background and white characters to conduct research and docking. The license plates with non-blue background and white characters need to be converted to blue background and white characters. ...

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Abstract

The invention discloses a license plate recognition system and method based on a particle swarm optimization neural network. The license plate recognition system comprises a license plate positioningmodule, a character recognition preprocessing module and a license plate recognition module, wherein the license plate positioning module comprises a license plate character preliminary positioning unit, a real license plate acquisition unit, a license plate rivet removal unit and a character axis determination unit; the character recognition preprocessing module comprises a binarization unit, a tilt correction unit and a normalization processing unit; and the license plate recognition module comprises a particle swarm learning unit, a dynamic optimization neural network unit and a recognitionunit. According to the license plate recognition system and method based on the particle swarm optimization neural network disclosed by the invention, the weight of the neural network and the numberof hidden layer neurons are dynamically optimized by the particle swarm optimization neural network, thereby increasing the accuracy and speed of license plate recognition.

Description

technical field [0001] The invention belongs to the technical field of license plate recognition, relates to a license plate recognition system, in particular to a license plate recognition system based on particle swarm optimization neural network; meanwhile, the invention also relates to a license plate recognition method. Background technique [0002] With the development of social economy and the continuous improvement of people's living standards, the number of privately owned motor vehicles has increased rapidly, and the popularization of vehicles has become an inevitable trend. Under such circumstances, relying solely on vigorously developing transportation facilities cannot solve problems such as traffic congestion, frequent traffic accidents, and aggravated environmental pollution. Vehicle license plate recognition technology is an important link in the intelligent transportation system. It occupies a very important position in traffic monitoring and control. As an ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06N3/04
CPCG06N3/04G06V10/245G06V30/1478G06V20/625G06V30/10Y02T10/40
Inventor 王小会薛延刚李晓青李建民裴永清李双科
Owner LANZHOU INST OF TECH
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