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Intelligent safe multi-license-plate positioning identification method based on cellular neural network

A neural network, license plate positioning technology, applied in the field of image processing, can solve the problems of low efficiency, unable to recognize the color of the license plate in real time, and time-consuming for multi-license plate positioning and recognition, and achieve the effect of fast positioning speed and high recognition accuracy.

Inactive Publication Date: 2013-03-20
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0005] The embodiment of the present invention provides an intelligent and safe multi-license plate positioning and recognition method based on cellular neural network, which is used to solve the problems of long time-consuming, low efficiency, and inability to recognize the color of the license plate in real time.

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  • Intelligent safe multi-license-plate positioning identification method based on cellular neural network
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  • Intelligent safe multi-license-plate positioning identification method based on cellular neural network

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Embodiment Construction

[0011] Aiming at the common problems of the existing multi-license plate positioning and recognition systems, such as long computing time, low efficiency, and inability to recognize the color of the license plate in real time, the embodiment of the present invention uses the cellular neural network to perform parallel calculations, and the processing speed has nothing to do with the image size, which is beneficial to large-scale integrated circuits. Advantages such as hardware implementation improve the computing speed, and integrate the color quantization and segmentation algorithm to quickly identify the color and type of the license plate.

[0012] Such as figure 1 As shown, the multi-license plate positioning and recognition method based on cellular neural network provided by the embodiment of the present invention includes the following steps:

[0013] Step 101, the multi-lane monitoring color image is collected by the front-end camera equipment;

[0014] Step 102, conve...

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Abstract

The invention discloses an intelligent safe multi-license-plate positioning identification method based on a cellular neural network, which comprises the steps that after front-end camera-shooting equipment collects color monitoring images of a plurality of lanes, license plate areas are positioned based on cellular neural network edge detection, fusion color quantification division color code matrices and definite length-width ratio characteristics; the license plate areas are magnified by a bilinear interpolation method, and are binarized by a gradation adaptive method; characters are divided by a binary projection method; and the characters and color types of license plates are identified based on a template matching fusion color code matrix. The license plate areas that are as small as possible is positioned and identified from the images containing the license plates; the positioning speed is high; and the identification accuracy is high.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for locating and recognizing license plates in an intelligent safety traffic system. Background technique [0002] With the rapid development of social economy, the popularity of vehicles has become an inevitable trend. Traditional traffic management methods can no longer meet people's needs. Modern traffic management methods have gradually tended to be intelligent, safe, and automated. At present, the license plate positioning and recognition in the Intelligent Transportation System (ITS) is mostly designed for a single lane, which requires a lot of manpower and equipment resources. Therefore, it is imperative to develop a real-time monitoring and monitoring system for multi-lane highway intersections and urban arteries. In multi-lane ITS, each frame of ITS image collected may contain multiple different types of license plate areas, and accurate an...

Claims

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Application Information

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IPC IPC(8): G06K9/60
Inventor 谢康朱洪亮张玲李伟李星
Owner BEIJING UNIV OF POSTS & TELECOMM
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